• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

sugasawa shounosuke  菅澤 翔之助

ORCIDConnect your ORCID iD *help
… Alternative Names

Sugasawa Shonosuke  菅澤 翔之助

Less
Researcher Number 50782380
Other IDs
Affiliation (Current) 2025: 慶應義塾大学, 経済学部(三田), 准教授
Affiliation (based on the past Project Information) *help 2023 – 2025: 慶應義塾大学, 経済学部(三田), 准教授
2020 – 2022: 東京大学, 空間情報科学研究センター, 准教授
2018 – 2019: 東京大学, 空間情報科学研究センター, 講師
2016 – 2017: 統計数理研究所, リスク解析戦略研究センター, 特任研究員
Review Section/Research Field
Principal Investigator
Medium-sized Section 7:Economics, business administration, and related fields / Basic Section 07030:Economic statistics-related / Economic statistics
Except Principal Investigator
Basic Section 07030:Economic statistics-related / Medium-sized Section 7:Economics, business administration, and related fields / Sections That Are Subject to Joint Review: Basic Section07030:Economic statistics-related , Basic Section07060:Money and finance-related / Basic Section 07060:Money and finance-related / Basic Section 04010:Geography-related
Keywords
Principal Investigator
因果推論 / 一般化ベイズ / ベイズ統計 / 階層モデル / ロバスト統計 / 混合効果モデル / マルコフ連鎖モンテカルロ法 / セミパラメトリック推定 / 計量経済分析 / 時空間統計 … More / ロバスト推測 / 空間データ / 時系列データ / 空間データ解析 / 時系列データ解析 / 予測統合 / 大規模時空間データ / 状態空間モデル / ベイズモデリング / 地域差 / 個体差 / グループデータ / 異質性 / 空間統計 / 統計モデリング / 経済統計 / 経験ベイズ法 / 経験ベイズ / 変量効果 / 標本調査 / 階層ベイズ / 小地域推定 … More
Except Principal Investigator
衛星画像 / 深層学習 / 開発途上国 / マイクロジオデータ / 人口統計 / 時空間モデリング / 空間統計学 / 因果推論 / ランダム化比較試験 / 測定誤差 / 信頼性 / アンケート調査 / ベイズ統計学 / ツール開発 / 現地調査 / 所得水準 / 建物用途 / AI / ベイズモデル / ローレンツ曲線 / 時空間モデル / グループ・データ / グループデータ / ジニ係数 / 所得分配 / 不平等 / マルコフ連鎖モンテカルロ法 / 所得分布 / 空間重み行列 / ビッグデータ / 空間計量経済学 Less
  • Research Projects

    (12 results)
  • Research Products

    (136 results)
  • Co-Researchers

    (27 People)
  •  複雑データに対するベイズモデリングの基盤創出Principal Investigator

    • Principal Investigator
      菅澤 翔之助
    • Project Period (FY)
      2025 – 2029
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 7:Economics, business administration, and related fields
    • Research Institution
      Keio University
  •  空間統計学と機械学習の融合による時空間回帰の開発・ツール化

    • Principal Investigator
      村上 大輔
    • Project Period (FY)
      2024 – 2028
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 04010:Geography-related
    • Research Institution
      The Institute of Statistical Mathematics
  •  Realizing Micro Population Data at the Building Scale in Developing Countries Using Satellite Image and AI

    • Principal Investigator
      秋山 祐樹
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07030:Economic statistics-related
      Basic Section 07060:Money and finance-related
      Sections That Are Subject to Joint Review: Basic Section07030:Economic statistics-related , Basic Section07060:Money and finance-related
    • Research Institution
      Tokyo City University
  •  Novel Bayesian predictive methods for social science

    • Principal Investigator
      小林 弦矢
    • Project Period (FY)
      2024 – 2028
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07030:Economic statistics-related
      Basic Section 07060:Money and finance-related
      Sections That Are Subject to Joint Review: Basic Section07030:Economic statistics-related , Basic Section07060:Money and finance-related
    • Research Institution
      Meiji University
  •  General Bayesian approaches to econometric analysisPrincipal Investigator

    • Principal Investigator
      菅澤 翔之助
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 7:Economics, business administration, and related fields
    • Research Institution
      Keio University
  •  Research on the Optimal Design of Survey Questionnaires

    • Principal Investigator
      山田 克宣
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Fund for the Promotion of Joint International Research (International Collaborative Research)
    • Review Section
      Medium-sized Section 7:Economics, business administration, and related fields
    • Research Institution
      Kindai University
  •  大規模データに対するベイズモデリングの新展開Principal Investigator

    • Principal Investigator
      菅澤 翔之助
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Keio University
      The University of Tokyo
  •  Bayesian spatio-temporal modeling of income inequality

    • Principal Investigator
      各務 和彦
    • Project Period (FY)
      2020 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 7:Economics, business administration, and related fields
    • Research Institution
      Nagoya City University
  •  Realization of the Micro Population Census by Deep Learning Using Satellite Images in Developing Countries

    • Principal Investigator
      AKIYAMA Yuki
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      Tokyo City University
  •  Statistical Methodology for Stabilizing Grouped Data AnalysisPrincipal Investigator

    • Principal Investigator
      Sugasawa Shonosuke
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 07030:Economic statistics-related
    • Research Institution
      The University of Tokyo
  •  Challenges and new developments to the most important issues in spatial econometrics

    • Principal Investigator
      Tsutsumi Morito
    • Project Period (FY)
      2018 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 7:Economics, business administration, and related fields
    • Research Institution
      University of Tsukuba
  •  Specification of random effects distributions in mixed-effects models with applications to small area estimationPrincipal Investigator

    • Principal Investigator
      Sugasawa Shonosuke
    • Project Period (FY)
      2016 – 2017
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Research Field
      Economic statistics
    • Research Institution
      The Institute of Statistical Mathematics

All 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

  • [Journal Article] An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate2025

    • Author(s)
      Mosaferi Sepideh、Ghosh Malay、Sugasawa Shonosuke
    • Journal Title

      Statistica Sinica

      Volume: -

    • DOI

      10.5705/ss.202023.0098

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations2024

    • Author(s)
      Takahiro Onizuka, Shintaro Hashimoto, Shonosuke Sugasawa
    • Journal Title

      Statistics and Computing

      Volume: 34 Issue: 1 Pages: 15-15

    • DOI

      10.1007/s11222-023-10327-y

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K13835, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo2024

    • Author(s)
      Takahiro Onizuka, Shintaro Hashimoto, Shonosuke Sugasawa
    • Journal Title

      Spatial Statistics

      Volume: 59 Pages: 100793-100793

    • DOI

      10.1016/j.spasta.2023.100793

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K13835, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-20H01483, KAKENHI-PROJECT-23K20592
  • [Journal Article] Fully Data-Driven Normalized and Exponentiated Kernel Density Estimator with Hyv?rinen Score2024

    • Author(s)
      Imai Shunsuke、Koriyama Takuya、Yonekura Shouto、Sugasawa Shonosuke、Nishiyama Yoshihiko
    • Journal Title

      Journal of Business & Economic Statistics

      Volume: - Issue: 1 Pages: 1-12

    • DOI

      10.1080/07350015.2024.2326149

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Functional horseshoe smoothing for functional trend estimation2023

    • Author(s)
      Wakayama Tomoya, Sugasawa Shonosuke
    • Journal Title

      Statistica Sinica

      Volume: -

    • DOI

      10.5705/ss.202022.0297

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K20592, KAKENHI-PROJECT-20H00080
  • [Journal Article] Locally adaptive Bayesian isotonic regression using half shrinkage priors2023

    • Author(s)
      Okano Ryo、Hamura Yasuyuki、Irie Kaoru、Sugasawa Shonosuke
    • Journal Title

      Scandinavian Journal of Statistics

      Volume: 51 Issue: 1 Pages: 109-141

    • DOI

      10.1111/sjos.12676

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K13374, KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions2023

    • Author(s)
      Hamura Yasuyuki、Irie Kaoru、Sugasawa Shonosuke
    • Journal Title

      Journal of Computational and Graphical Statistics

      Volume: - Issue: 2 Pages: 1-10

    • DOI

      10.1080/10618600.2023.2258186

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K13374, KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Adaptation of the tuning parameter in general Bayesian inference with robust divergence2023

    • Author(s)
      Yonekura Shouto、Sugasawa Shonosuke
    • Journal Title

      Statistics and Computing

      Volume: 33 Issue: 2

    • DOI

      10.1007/s11222-023-10205-7

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Hedonic real estate price estimation with the spatiotemporal geostatistical model2023

    • Author(s)
      Muto Sachio、Sugasawa Shonosuke、Suzuki Masatomo
    • Journal Title

      Journal of Spatial Econometrics

      Volume: 4 Issue: 1

    • DOI

      10.1007/s43071-023-00039-w

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Improved methods to construct prediction intervals for network meta‐analysis2023

    • Author(s)
      Noma Hisashi、Hamura Yasuyuki、Sugasawa Shonosuke、Furukawa Toshi A.
    • Journal Title

      Research Synthesis Methods

      Volume: 14 Issue: 6 Pages: 794-806

    • DOI

      10.1002/jrsm.1651

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-23K20592, KAKENHI-PROJECT-23K24811
  • [Journal Article] Grouped generalized estimating equations for longitudinal data analysis2022

    • Author(s)
      Ito Tsubasa, Sugasawa Shonosuke
    • Journal Title

      Biometrics

      Volume: - Issue: 3 Pages: 1868-1879

    • DOI

      10.1111/biom.13718

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Journal Article] Log-regularly varying scale mixture of normals for robust regression2022

    • Author(s)
      Hamura Yasuyuki, Irie Kaoru, Sugasawa Shonosuke
    • Journal Title

      Computational Statistics and Data Analysis

      Volume: 173 Pages: 107517-107517

    • DOI

      10.1016/j.csda.2022.107517

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K13374, KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-20J10427, KAKENHI-PROJECT-23K20592
  • [Journal Article] Forecasting the housing vacancy rate in Japan using dynamic spatiotemporal effects models2022

    • Author(s)
      Muto Sachio、Sugasawa Shonosuke、Suzuki Masatomo
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: - Issue: 1 Pages: 21-44

    • DOI

      10.1007/s42081-022-00184-w

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03628, KAKENHI-PROJECT-23K20592
  • [Journal Article] Robust fitting of mixture models using weighted complete estimating equations2022

    • Author(s)
      Sugasawa Shonosuke、Kobayashi Genya
    • Journal Title

      Computational Statistics & Data Analysis

      Volume: 174 Pages: 107526-107526

    • DOI

      10.1016/j.csda.2022.107526

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K01421, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Adaptively robust geographically weighted regression2022

    • Author(s)
      Sugasawa Shonosuke、Murakami Daisuke
    • Journal Title

      Spatial Statistics

      Volume: 48 Pages: 100623-100623

    • DOI

      10.1016/j.spasta.2022.100623

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03628, KAKENHI-PROJECT-23K20592, KAKENHI-PROJECT-23K21010, KAKENHI-PROJECT-20H01483
  • [Journal Article] Sparse Bayesian Inference on Gamma-Distributed Observations Using Shape-Scale Inverse-Gamma Mixtures2022

    • Author(s)
      Yasuyuki Hamura, Takahiro Onizuka, Shintaro Hashimoto, Shonosuke Sugasawa
    • Journal Title

      Bayesian Analysis

      Volume: to appear Issue: 1 Pages: 0-21

    • DOI

      10.1214/22-ba1348

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K13835, KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-20J10427, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] Efficient testing and effect size estimation for set-based genetic association inference via semiparametric multilevel mixture modeling2022

    • Author(s)
      Sugasawa Shonosuke, Noma Hisashi
    • Journal Title

      Biometrical Journal

      Volume: 64 Issue: 6 Pages: 1142-1152

    • DOI

      10.1002/bimj.202100234

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Journal Article] On data augmentation for models involving reciprocal gamma functions2022

    • Author(s)
      Hamura Yasuyuki, Irie Kaoru, Sugasawa Shonosuke
    • Journal Title

      Journal of Computational and Graphical Statistics

      Volume: - Issue: 3 Pages: 1-9

    • DOI

      10.1080/10618600.2022.2119988

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K13374, KAKENHI-PROJECT-22K20132, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-18H00835, KAKENHI-PROJECT-20J10427, KAKENHI-PROJECT-23K20592, KAKENHI-PROJECT-19H00588
  • [Journal Article] Covariance based moment equations for improved variance component estimation2022

    • Author(s)
      S. Chaudhuri, T. Kubokawa, S. Sugasawa
    • Journal Title

      Statistics

      Volume: 56 Issue: 6 Pages: 1290-1318

    • DOI

      10.1080/02331888.2022.2144856

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11188, KAKENHI-PROJECT-22K11928, KAKENHI-PROJECT-23K20592
  • [Journal Article] Dynamic spatio-temporal zero-inflated Poisson models for predicting capelin distribution in the Barents Sea2022

    • Author(s)
      Sugasawa Shonosuke、Nakagawa Tomoyuki、Solvang Hiroko Kato、Subbey Sam、Alrabeei Salah
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: - Issue: 1 Pages: 1-20

    • DOI

      10.1007/s42081-022-00183-x

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03628, KAKENHI-PROJECT-19K14597, KAKENHI-PROJECT-23K20592
  • [Journal Article] On Selection Criteria for the Tuning Parameter in Robust Divergence2021

    • Author(s)
      Sugasawa Shonosuke and Yonekura Shouto
    • Journal Title

      Entropy

      Volume: 23 Issue: 9 Pages: 1147-1147

    • DOI

      10.3390/e23091147

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-21K17713, KAKENHI-PROJECT-23K20592
  • [Journal Article] Improved confidence regions in meta-analysis of diagnostic test accuracy2021

    • Author(s)
      Ito Tsubasa、Sugasawa Shonosuke
    • Journal Title

      Computational Statistics & Data Analysis

      Volume: 153 Pages: 107068-107068

    • DOI

      10.1016/j.csda.2020.107068

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Journal Article] Spatially clustered regression2021

    • Author(s)
      Sugasawa Shonosuke and Murakami Daisuke
    • Journal Title

      Spatial Statistics

      Volume: 44 Pages: 100525-100525

    • DOI

      10.1016/j.spasta.2021.100525

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-23K20592
  • [Journal Article] General unbiased estimating equations for variance components in linear mixed models2021

    • Author(s)
      Kubokawa T., Sugasawa S., Tamae H. and Chaudhuri S.
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: 4 Issue: 2 Pages: 841-859

    • DOI

      10.1007/s42081-021-00138-8

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-18K11188, KAKENHI-PROJECT-23K20592
  • [Journal Article] On Global-Local Shrinkage Priors for Count Data2021

    • Author(s)
      Hamura Yasuyuki、Irie Kaoru、Sugasawa Shonosuke
    • Journal Title

      Bayesian Analysis

      Volume: -1 Issue: 2 Pages: 545-564

    • DOI

      10.1214/21-ba1263

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20J10427, KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-19H00588, KAKENHI-PROJECT-23K20592
  • [Journal Article] Robust Bayesian Changepoint Analysis in the Presence of Outliers2021

    • Author(s)
      Shonosuke Sugasawa and Shintaro Hashimoto
    • Journal Title

      Smart Innovation, Systems and Technologies

      Volume: 238 Pages: 469-478

    • DOI

      10.1007/978-981-16-2765-1_39

    • ISBN
      9789811627644, 9789811627651
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K13835, KAKENHI-PROJECT-23K20592
  • [Journal Article] Bayesian Approach to Lorenz Curve Using Time Series Grouped Data2021

    • Author(s)
      Kobayashi Genya、Yamauchi Yuta、Kakamu Kazuhiko、Kawakubo Yuki、Sugasawa Shonosuke
    • Journal Title

      Journal of Business & Economic Statistics

      Volume: Accepted Issue: 2 Pages: 1-16

    • DOI

      10.1080/07350015.2021.1883438

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K13667, KAKENHI-PROJECT-18K12754, KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-20H00080, KAKENHI-PROJECT-20K01590
  • [Journal Article] Bayesian semiparametric modeling of response mechanism for nonignorable missing data2021

    • Author(s)
      Sugasawa Shonosuke、Morikawa Kosuke、Takahata Keisuke
    • Journal Title

      TEST

      Volume: 31 Issue: 1 Pages: 101-117

    • DOI

      10.1007/s11749-021-00774-y

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K14592, KAKENHI-PROJECT-20H00080
  • [Journal Article] Robust empirical Bayes small area estimation with density power divergence2020

    • Author(s)
      Sugasawa, S.
    • Journal Title

      Biometrika

      Volume: 107 Issue: 2 Pages: 467-480

    • DOI

      10.1093/biomet/asz075

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Journal Article] Estimation and inference for area-wise spatial income distributions from grouped data2020

    • Author(s)
      Sugasawa Shonosuke、Kobayashi Genya、Kawakubo Yuki
    • Journal Title

      Computational Statistics & Data Analysis

      Volume: 145 Pages: 106904-106904

    • DOI

      10.1016/j.csda.2019.106904

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12754, KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-19K13667
  • [Journal Article] Robust Bayesian Regression with Synthetic Posterior Distributions2020

    • Author(s)
      Hashimoto Shintaro、Sugasawa Shonosuke
    • Journal Title

      Entropy

      Volume: 22 Issue: 6 Pages: 661-661

    • DOI

      10.3390/e22060661

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K14233, KAKENHI-PROJECT-18K12757
  • [Journal Article] Grouped Heterogeneous Mixture Modeling for Clustered Data2020

    • Author(s)
      Sugasawa Shonosuke
    • Journal Title

      Journal of the American Statistical Association

      Volume: NA Issue: 534 Pages: 1-12

    • DOI

      10.1080/01621459.2020.1777136

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Journal Article] Small area estimation with mixed models: a review2020

    • Author(s)
      Sugasawa, S. and Kubokawa, T.
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: - Issue: 2 Pages: 693-720

    • DOI

      10.1007/s42081-020-00076-x

    • NAID

      210000168341

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-18K11188
  • [Journal Article] Efficient screening of predictive biomarkers for individual treatment selection.2020

    • Author(s)
      Sugasawa S, Noma H.
    • Journal Title

      Biometrics.

      Volume: 印刷中 Issue: 1 Pages: 249-257

    • DOI

      10.1111/biom.13279

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01557, KAKENHI-PROJECT-18K12757
  • [Journal Article] Predicting intervention effect for COVID-19 in Japan: state space modeling approach2020

    • Author(s)
      Kobayashi Genya、Sugasawa Shonosuke、Tamae Hiromasa、Ozu Takayuki
    • Journal Title

      BioScience Trends

      Volume: 14 Issue: 3 Pages: 174-181

    • DOI

      10.5582/bst.2020.03133

    • NAID

      130007877649

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K12754, KAKENHI-PROJECT-18K12757
  • [Journal Article] Parametric Bootstrap Confidence Intervals for the Multivariate Fay?Herriot Model2020

    • Author(s)
      Saegusa Takumi、Sugasawa Shonosuke、Lahiri Partha
    • Journal Title

      Journal of Survey Statistics and Methodology

      Volume: NA Issue: 1 Pages: 115-130

    • DOI

      10.1093/jssam/smaa038

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Journal Article] An Approximate Bayesian Approach to Model-assisted Survey Estimation with Many Auxiliary Variables2020

    • Author(s)
      Sugasawa Shonosuke、Kim Jae Kwang
    • Journal Title

      Statistica Sinica

      Volume: NA

    • DOI

      10.5705/ss.202019.0239

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Journal Article] Small area estimation with spatially varying natural exponential families2020

    • Author(s)
      Sugasawa, S., Kawakubo, Y. and Ogasawara, K.
    • Journal Title

      Journal of Statistical Computation and Simulation

      Volume: 90 Issue: 6 Pages: 1039-1056

    • DOI

      10.1080/00949655.2020.1714048

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-19K13667, KAKENHI-PROJECT-19K13754, KAKENHI-PROJECT-17K03096
  • [Journal Article] Small area estimation of general parameters: Bayesian transformed spatial prediction approach2019

    • Author(s)
      Sugasawa, S.
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: - Issue: 1 Pages: 167-181

    • DOI

      10.1007/s42081-019-00067-7

    • NAID

      210000185006

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Journal Article] Estimating individual treatment effects by gradient boosting trees2019

    • Author(s)
      Sugasawa, S and Noma, H.
    • Journal Title

      Statistics in Medicine

      Volume: 38 Issue: 26 Pages: 5146-5159

    • DOI

      10.1002/sim.8357

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-17H01557
  • [Journal Article] Adaptively transformed mixed model prediction of general finite population parameters2019

    • Author(s)
      Sugasawa, S. and Kubokawa, T.
    • Journal Title

      Scandinavian Journal of Statistics

      Volume: to appear Issue: 4 Pages: 1025-1046

    • DOI

      10.1111/sjos.12380

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Journal Article] A unified method for improved inference in random-effects meta-analysis2019

    • Author(s)
      Sugasawa, S. and Noma, H.
    • Journal Title

      Biostatistics

      Volume: - Issue: 1 Pages: 114-130

    • DOI

      10.1093/biostatistics/kxz020

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-19H04074
  • [Journal Article] Hierarchical Bayes small area estimation with an unknown link function.2019

    • Author(s)
      Sugasawa, S., Kubokawa, T. and Rao, J. N. K.
    • Journal Title

      Scandinavian Journal of Statistics

      Volume: to appear Issue: 3 Pages: 885-897

    • DOI

      10.1111/sjos.12376

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-18K11188
  • [Journal Article] Observed best selective prediction in small area estimation2019

    • Author(s)
      Sugasawa, S., Kawakubo, Y. and Datta, G. S.
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 173 Pages: 383-392

    • DOI

      10.1016/j.jmva.2019.04.002

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Journal Article] Conditional Akaike information under covariate shift with application to small area estimation2018

    • Author(s)
      Yuki Kawakubo, Shonosuke Sugasawa and Tatsuya Kubokawa
    • Journal Title

      Canadian Journal of Statistics

      Volume: 印刷中 Issue: 2 Pages: 316-335

    • DOI

      10.1002/cjs.11354

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K17101, KAKENHI-PROJECT-16H07406, KAKENHI-PROJECT-18K11188, KAKENHI-PROJECT-15H01943
  • [Journal Article] Small area estimation via unmatched sampling and linking models2018

    • Author(s)
      Sugasawa, S., Kubokawa, T. and Rao, J. N. K.
    • Journal Title

      TEST (An Official Journal of the Spanish Society of Statistics and Operations Research)

      Volume: 発行中 Issue: 2 Pages: 407-427

    • DOI

      10.1007/s11749-017-0551-5

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H07406
  • [Journal Article] Latent mixture modeling for clustered data2018

    • Author(s)
      Sugasawa Shonosuke、Kobayashi Genya、Kawakubo Yuki
    • Journal Title

      Statistics and Computing

      Volume: 29 Issue: 3 Pages: 537-548

    • DOI

      10.1007/s11222-018-9821-7

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K12754, KAKENHI-PROJECT-18K12757, KAKENHI-PROJECT-16K17101
  • [Journal Article] An efficient and flexible test for rare variant effects2017

    • Author(s)
      Sugasawa, S., Noma, H., Otani, T., Nishino, J. and Matsui, S.
    • Journal Title

      European Journal of Human Genetics

      Volume: 印刷中 Issue: 6 Pages: 19-35

    • DOI

      10.1038/ejhg.2017.43

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H07406, KAKENHI-PROJECT-25280008, KAKENHI-PROJECT-15K15954, KAKENHI-PROJECT-16H06299
  • [Journal Article] Heteroscedastic nested error regression models with variance functions2017

    • Author(s)
      Sugasawa, S. and Kubokawa, T.
    • Journal Title

      Statistica Sinica

      Volume: 印刷中 Pages: 1101-1123

    • DOI

      10.5705/ss.202015.0318

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H07406, KAKENHI-PROJECT-26330036
  • [Journal Article] Transforming response values in small area prediction2017

    • Author(s)
      Sugasawa, S. and Kubokawa, T.
    • Journal Title

      Computational Statistics & Data Analysis

      Volume: 印刷中 Pages: 47-60

    • DOI

      10.1016/j.csda.2017.03.017

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-16H07406, KAKENHI-PROJECT-15H01943, KAKENHI-PROJECT-26330036
  • [Journal Article] Bayesian estimators in uncertain nested error regression models2017

    • Author(s)
      Sugasawa, S. and Kubokawa, T.
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 153 Pages: 52-63

    • DOI

      10.1016/j.jmva.2016.09.011

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H07406, KAKENHI-PROJECT-26330036
  • [Journal Article] Empirical uncertain Bayes methods in area-level models2017

    • Author(s)
      Sugasawa, S., Kubokawa, T. and Ogasawara, K.
    • Journal Title

      Scandinavian Journal of Statistics

      Volume: 印刷中 Issue: 3 Pages: 684-706

    • DOI

      10.1111/sjos.12271

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-16H07406, KAKENHI-PROJECT-16K17153, KAKENHI-PROJECT-15H01943, KAKENHI-PROJECT-26330036
  • [Journal Article] Bayesian estimators for small area models shrinking both means and variances2017

    • Author(s)
      Sugasawa, S., Tamae, H. and Kubokawa, T.
    • Journal Title

      Scandinavian Journal of Statistics

      Volume: 44 Issue: 1 Pages: 150-167

    • DOI

      10.1111/sjos.12246

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H07406, KAKENHI-PROJECT-16J02424, KAKENHI-PROJECT-26330036
  • [Presentation] Spatial Ensemble Learning for House Price Prediction2024

    • Author(s)
      菅澤翔之助
    • Organizer
      CREI International Forum
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Spatial Ensemble Learning for House Price Prediction2024

    • Author(s)
      菅澤翔之助
    • Organizer
      CREI International Forum
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 不動産におけるデータサイエンス2024

    • Author(s)
      菅澤翔之助
    • Organizer
      サステナブル・インフラ研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 不動産におけるデータサイエンス2024

    • Author(s)
      菅澤翔之助
    • Organizer
      サステナブル・インフラ研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] べイズ的予測統合の理論と応用2023

    • Author(s)
      菅澤翔之助
    • Organizer
      応用統計学会2023年年会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Scalable Bayesian Spatio-temporal Predictive Synthesis2023

    • Author(s)
      Sugasawa Shonosuke
    • Organizer
      ISM Symposium on Environmental Statistics 2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 空間データに対するベイズモデリングと予測統合2023

    • Author(s)
      菅澤翔之助
    • Organizer
      近畿大学経済研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Bayesian spatio-temporal clustering of functional data2023

    • Author(s)
      菅澤翔之助
    • Organizer
      EcoSta 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Gibbs sampler for matrix generalized inverse Gaussian distributions2023

    • Author(s)
      菅澤翔之助
    • Organizer
      EAC-ISBA 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] ロバストなベイズ推測2023

    • Author(s)
      菅澤翔之助
    • Organizer
      2023年度計量生物セミナー「ベイズ推測と臨床研究への応用」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] べイズ的予測統合の理論と応用2023

    • Author(s)
      菅澤翔之助
    • Organizer
      応用統計学会2023年年会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] ベイズ統計学を用いたデータ分析2023

    • Author(s)
      菅澤翔之助
    • Organizer
      Beyond AI 研究セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Scalable Bayesian Spatio-temporal Predictive Synthesis2023

    • Author(s)
      菅澤翔之助
    • Organizer
      ISM Symposium on Environmental Statistics 2023
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] ベイズ的モデル統合による時空間予測2023

    • Author(s)
      菅澤翔之助
    • Organizer
      京都大学都市経済学研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Bayesian causal synthesis for meta- inference on heterogeneous2023

    • Author(s)
      菅澤翔之助
    • Organizer
      Statistics Seminer, Australian National University
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] AI価格査定と不動産価格分析2023

    • Author(s)
      菅澤翔之助
    • Organizer
      To the next Dimension of PropTech_
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Bayesian spatio-temporal clustering of functional data2023

    • Author(s)
      菅澤翔之助
    • Organizer
      EcoSta 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] ベイズ的予測統合とその応用2023

    • Author(s)
      菅澤翔之助
    • Organizer
      計量経済学ワークショップ
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] ベイズ的予測統合とその応用2023

    • Author(s)
      菅澤翔之助
    • Organizer
      計量経済学ワークショップ
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] ベイズ統計学を用いたデータ分析2023

    • Author(s)
      菅澤翔之助
    • Organizer
      Beyond AI 研究セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes2023

    • Author(s)
      菅澤翔之助
    • Organizer
      シンポジウム「The philosophy of statistics and its applications」
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] ロバストなベイズ推測2023

    • Author(s)
      菅澤翔之助
    • Organizer
      2023年度計量生物セミナー「ベイズ推測と臨床研究への応用」
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Gibbs sampler for matrix generalized inverse Gaussian distributions2023

    • Author(s)
      菅澤翔之助
    • Organizer
      EAC-ISBA 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 複数の異質処置効果推定量のベイズ的統合2023

    • Author(s)
      菅澤翔之助
    • Organizer
      第17回日本統計学会春季集会
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 空間データに対するベイズモデリングと予測統合2023

    • Author(s)
      菅澤翔之助
    • Organizer
      近畿大学経済研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] AI価格査定と不動産価格分析2023

    • Author(s)
      菅澤翔之助
    • Organizer
      To the next Dimension of PropTech_
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 住宅地図と衛星画像を活用した建物高密度地域における建物データの開発2022

    • Author(s)
      山野寺瞭太・岡田佳佑・秋山祐樹・宮崎浩之・宮澤聡・菅澤翔之助・小川芳樹
    • Organizer
      CSIS DAYS 2022
    • Data Source
      KAKENHI-PROJECT-20H01483
  • [Presentation] 住宅地図と衛星画像を活用した建物高密度地域における建物データの開発2022

    • Author(s)
      山野寺瞭太, 岡田佳佑, 秋山祐樹, 宮崎浩之, 宮澤聡, 菅澤翔之助, 小川芳樹
    • Organizer
      CSIS DAYS 2022
    • Data Source
      KAKENHI-PROJECT-20H01483
  • [Presentation] Spatially-Varying Bayesian Predictive Synthesis for Flexible and Interpretable Spatial Prediction2022

    • Author(s)
      Sugasawa Shonosuke
    • Organizer
      5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03628
  • [Presentation] Scalable Bayesian Spatio-temporal Predictive Synthesi2022

    • Author(s)
      Sugasawa Shonosuke
    • Organizer
      ISM Symposium on Environmental Statistics 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03628
  • [Presentation] Efficient screening of predictive biomarkers for2022

    • Author(s)
      菅澤翔之助
    • Organizer
      2022年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Adaptively robust small area estimation?A2022

    • Author(s)
      菅澤翔之助
    • Organizer
      Small Area Estimation 2022
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Spatially-varying Model Combination for Flexible Spatial Prediction2022

    • Author(s)
      菅澤翔之助
    • Organizer
      ISM Symposium on Environmental Statistics 2022
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Hyvarinenスコアを用いたロバストベイズ推測2022

    • Author(s)
      菅澤翔之助
    • Organizer
      日本計算機統計学会第36回大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Adaptively robust small area estimation2022

    • Author(s)
      Sugasawa Shonosuke
    • Organizer
      Small Area Estimation 2022
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Bayesian predictive synthesis による空間的予測統合2022

    • Author(s)
      菅澤翔之助
    • Organizer
      2022年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 超裾厚な確率分布を用いたロバストなベイズ推測2022

    • Author(s)
      菅澤翔之助
    • Organizer
      RIMS 共同研究集会「ベイズ法と統計的推測」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Spatially-varying Bayesian predictive synthesis for flexible and interpretable spatial prediction2022

    • Author(s)
      Sugasawa Shonosuke
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Spatially-varying Bayesian predictive synthesis for flexible and interpretable spatial prediction2022

    • Author(s)
      菅澤翔之助
    • Organizer
      The 5th International Conference on Econometrics and Statistics (EcoSta 2022)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Hyvarinenスコアを用いたロバストベイズ推測2022

    • Author(s)
      菅澤翔之助
    • Organizer
      日本計算機統計学会第36回大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Spatially clustered regressin2021

    • Author(s)
      菅澤翔之助
    • Organizer
      The XV World Conference of Spatial Econometrics Association (SEA 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] ゼロ過剰と外れ値に頑健なカウントデータのベイズモデリング2021

    • Author(s)
      菅澤翔之助
    • Organizer
      2021年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] 異質な集団が混在するデータ に対する統計モデリング2021

    • Author(s)
      菅澤翔之助
    • Organizer
      2021年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] ゼロ過剰と外れ値に頑健なカウントデータのベイズモデリング2021

    • Author(s)
      菅澤翔之助
    • Organizer
      2021年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 異質な集団が混在するデータ に対する統計モデリング2021

    • Author(s)
      菅澤翔之助
    • Organizer
      2021年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 超裾厚な確率分布を用いたロバストなベイズ推測2021

    • Author(s)
      菅澤翔之助
    • Organizer
      東京理科大学第 7 回統計科学セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Spatially clustered regressin2021

    • Author(s)
      菅澤翔之助
    • Organizer
      The XV World Conference of Spatial Econometrics Association (SEA 2021)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Grouped generalized estimating equations for heterogeneous longitudinal data2021

    • Author(s)
      菅澤翔之助
    • Organizer
      International Symposium on New Developments of Theories and Methodologies for Large Complex Data
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] 超裾厚な確率分布を用いたロバストなベイズ推測2021

    • Author(s)
      菅澤翔之助
    • Organizer
      RIMS 共同研究集会「ベイズ法と統計的推測」
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Robust hierarchical modeling of counts under zero-inflation and outliers2021

    • Author(s)
      菅澤翔之助
    • Organizer
      Webinar of Bayesian Econometrics 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Spatially-varying Model Combination for Flexible Spatial Prediction2021

    • Author(s)
      Sugasawa Shonosuke
    • Organizer
      ISM Symposium on Environmental Statistics 2022
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Grouped generalized estimating equations for heterogeneous longitudinal data2021

    • Author(s)
      菅澤翔之助
    • Organizer
      International Symposium on New Developments of Theories and Methodologies for Large Complex Data
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20592
  • [Presentation] Robust hierarchical modeling of counts under zero-inflation and outliers2021

    • Author(s)
      菅澤翔之助
    • Organizer
      Webinar of Bayesian Econometrics 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00080
  • [Presentation] Optimal discovery procedure for screening covariates associated with individual treatment effects2020

    • Author(s)
      Sugasawa, S.
    • Organizer
      Workshop on the Frontiers in Data Science
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] 境界値過剰データに対する時空間モデリング:海洋資源調査データへの適用2020

    • Author(s)
      菅澤翔之助
    • Organizer
      CSIS DAYS 2020
    • Data Source
      KAKENHI-PROJECT-18H03628
  • [Presentation] Spatio-temporal modeling of zero-inflated count data: an application to marine resource monitoring2020

    • Author(s)
      菅澤翔之助
    • Organizer
      Webinar of Bayesian Econometrics 2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Spatio-temporal modeling of zero-inflated count data: an application to marine resource monitoring2020

    • Author(s)
      Sugasawa, S.
    • Organizer
      Webinar of Bayesian Econometrics 2020
    • Data Source
      KAKENHI-PROJECT-18H03628
  • [Presentation] 異質な集団が混在するデータに対する統計モデリング2020

    • Author(s)
      菅澤翔之助
    • Organizer
      第5回統計・機械学習若手シンポジウム
    • Data Source
      KAKENHI-PROJECT-18H03628
  • [Presentation] 境界値過剰データに対する時空間モデリング_~海洋資源調査データへの適用~2020

    • Author(s)
      菅澤翔之助
    • Organizer
      CSIS DAYS 2020
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Spatially Clustered Regression2020

    • Author(s)
      菅澤翔之助
    • Organizer
      科研費シンポジウム "Recent Progress in Spatial and/or Spatio-temporal Data Analysis"
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Robust Bayesian Regression with Synthetic Posterior2020

    • Author(s)
      菅澤翔之助
    • Organizer
      科研費シンポジウム「多様な高次元モデルにおける理論と方法論」
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] 異質な集団が混在するデータに対する統計モデリング2020

    • Author(s)
      菅澤翔之助
    • Organizer
      第5回統計・機械学習若手シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Spatially Clustered Regression2020

    • Author(s)
      Sugasawa, S.
    • Organizer
      科研費シンポジウム "Recent Progress in Spatial and/or Spatio-temporal Data Analysis"
    • Data Source
      KAKENHI-PROJECT-18H03628
  • [Presentation] On Global-local Shrinkage Priors for Count Data2019

    • Author(s)
      Sugasawa, S.
    • Organizer
      Young Bayesian Workshop
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Estimation of spatially varying income distributions from grouped data2019

    • Author(s)
      Sugasawa, S.
    • Organizer
      Workshop on Bayesian Modelling of Income and Wealth
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] On Global-local shrinkage priors for count data2019

    • Author(s)
      菅澤翔之助
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Estimation of area-wise spatial income distributions from grouped data2019

    • Author(s)
      Sugasawa, S.
    • Organizer
      Computational Financial Econometrics (CFE) 2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] ロバストな統計手法による 地域効果の推定法2019

    • Author(s)
      菅澤翔之助
    • Organizer
      研究集会「公的データの利用とプライバシー保護の理論」
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] 無視できない欠測データに対するセミパラメトリックなベイズ推定2019

    • Author(s)
      菅澤翔之助
    • Organizer
      ベイズ計量経済学研究集会
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Robust Estimation and Joint Selection in Linear Mixed Models2019

    • Author(s)
      Sugasawa, S.
    • Organizer
      62nd ISI World Statistics Congress 2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Robust Bayesian regression with shrinkage priors2019

    • Author(s)
      Sugasawa, S.
    • Organizer
      The 4th Eastern Asia Meeting on Bayesian Statistics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] 空間的確率構造を用いた地域別所得分布の同時推定2019

    • Author(s)
      菅澤翔之助
    • Organizer
      春季統計学会
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] clustered dataに対するグループ化有限混合モデル2018

    • Author(s)
      菅澤翔之助
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Hierarchical Bayes Small Area Estimation with Unknown Link Function2018

    • Author(s)
      Shonosuke Sugasawa
    • Organizer
      Small Area Estimation 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Latent mixture modeling for clustered data2018

    • Author(s)
      Sugasawa, S.
    • Organizer
      ISM Symposium on Environmental Statistics
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H07406
  • [Presentation] Small Area Estimation with Unknown Link Function2018

    • Author(s)
      Shonosuke Sugasawa
    • Organizer
      International Society of Bayesian Analysis 2018 World Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K12757
  • [Presentation] Exact Confidence Intervals in Meta-Analysis2017

    • Author(s)
      菅澤翔之助
    • Organizer
      2017年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16H07406
  • [Presentation] Robust empirical Bayes small area estimation with density power divergence2017

    • Author(s)
      Sugasawa, S.
    • Organizer
      Small Area Estimation 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H07406
  • [Presentation] Spike-Slab型事前分布を用いた地域データ解析2017

    • Author(s)
      菅澤翔之助
    • Organizer
      日本計算機統計学会第31回大会
    • Data Source
      KAKENHI-PROJECT-16H07406
  • [Presentation] Robust empirical Bayes small area estimation with density power divergence2017

    • Author(s)
      Sugasawa, S.
    • Organizer
      26th South Taiwan Statistical Conference
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H07406
  • [Presentation] Flexibly transformed empirical best prediction in finite population2017

    • Author(s)
      Sugasawa. S.
    • Organizer
      Joint Meeting of ISI-ISM-ISSAS 2017
    • Place of Presentation
      Indian Statistical Institute, Delhi
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H07406
  • [Presentation] 潜在混合密度回帰モデルによるグループデータ解析2016

    • Author(s)
      菅澤翔之助
    • Organizer
      2016年度 統計関連学会連合大会
    • Place of Presentation
      金沢大学
    • Data Source
      KAKENHI-PROJECT-16H07406
  • [Presentation] Rare Variant 検出のための柔軟な検定手法2016

    • Author(s)
      菅澤翔之助
    • Organizer
      日本計算機統計学会第30回シンポジウム
    • Place of Presentation
      プラサヴェルデ
    • Data Source
      KAKENHI-PROJECT-16H07406
  • 1.  小林 弦矢 (00725103)
    # of Collaborated Projects: 3 results
    # of Collaborated Products: 4 results
  • 2.  AKIYAMA Yuki (60600054)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 3.  瀬谷 創 (20584296)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 4.  村上 大輔 (20738249)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 5.  川久保 友超 (80771881)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 6.  宮崎 浩之 (80764414)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 7.  小川 芳樹 (70794296)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 8.  宮澤 聡 (70834274)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 9.  入江 薫 (20789169)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 4 results
  • 10.  Tsutsumi Morito (70292886)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  松田 安昌 (10301590)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  吉田 崇紘 (60826767)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  各務 和彦 (00456005)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  古澄 英男 (10261273)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  西埜 晴久 (20305410)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 16.  井上 亮 (60401303)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 17.  秋山 千亜紀 (20714166)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 18.  山内 雄太 (00914160)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 19.  城田 慎一郎 (90845918)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 20.  橋本 真太郎 (60772796)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 5 results
  • 21.  中川 智之 (70822526)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 22.  山田 克宣 (80533603)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 23.  稲葉 美里 (70793975)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 24.  MORIKAWA Kosuke
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 25.  野間 久史
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 26.  久保川 達也
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 27.  羽村 靖之
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi