Hashimoto Shintaro 橋本真太郎

Researcher Number	60772796
Affiliation (Current)	2025: 広島大学, 先進理工系科学研究科(理), 准教授
Affiliation (based on the past Project Information) *help	2020 – 2025: 広島大学, 先進理工系科学研究科(理), 准教授 2019: 広島大学, 理学研究科, 准教授 2017 – 2018: 広島大学, 理学研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 12040:Applied mathematics and statistics-related / Foundations of mathematics/Applied mathematics Except Principal Investigator Basic Section 07030:Economic statistics-related / Basic Section 60030:Statistical science-related
Keywords	Principal Investigator ベイズ統計 / 非正則モデル / マルコフ連鎖モンテカルロ法 / 予測分布 / 漸近理論 / 変分ベイズ / ロバスト回帰 / 状態空間モデル / 分位点回帰 / 多変量切断正規分布 … More / 空間統計 / 一般化ベイズ / モデル誤特定 / ベイジアンブートストラップ / 一般化ベイズ法 / 変数選択 / グラフィカルモデル / 縮小事前分布 / ベイズ推測 / ロバスト統計 / 情報理論 / ベイズ予測 / 高次漸近理論 / 客観事前分布 / 統計数学 / ベイズ統計学 … More Except Principal Investigator 時空間統計 / ロバスト推測 / 階層モデル / 空間データ / 時系列データ / ロバスト統計 / 空間データ解析 / 時系列データ解析 / 予測統合 / ベイズ統計 / 因果推論 / 大規模時空間データ / 一般化ベイズ / 状態空間モデル / ベイズモデリング / van Treesの不等式 / Borovkov-Sakhanenkoの不等式 / 有効推定量 / 情報不等式 / Jeffreys事前分布 / 共役事前分布 / エスコート分布 / 下界 / 有効性 / ベイジアン情報不等式 / ベイズリスク / ベイズ推測 Less

非正則回帰モデルにおける変数選択とベイズ計算手法の研究Principal Investigator
- Principal Investigator
  
  橋本真太郎
- Project Period (FY)
  2025 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  Hiroshima University
非正則回帰モデルのベイズ推測理論とその応用Principal Investigator
- Principal Investigator
  
  橋本真太郎
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  Hiroshima 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
  
  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
Efficiencies by Bayesian information inequalities
- Principal Investigator
  
  KOIKE Ken-ichi
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Nihon University
Objective Bayes methods for non-regular statistical modelsPrincipal Investigator
- Principal Investigator
  
  Hashimoto Shintaro
- Project Period (FY)
  2017 – 2020
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Foundations of mathematics/Applied mathematics
- Research Institution
  Hiroshima University

All 2024 2023 2022 2021 2020 2019 2018 2017

All Journal Article Presentation Book

[Book] 標準　ベイズ統計学2022
- Author(s)
  入江薫、橋本真太郎、菅澤翔之助
- Total Pages
  320
- Publisher
  朝倉書店
- ISBN
  9784254122671
- Data Source
  KAKENHI-PROJECT-21K13835
[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] Bayesian boundary trend filtering2024
- Author(s)
  Takahiro Onizuka, Fumiya Iwashige, Shintaro Hashimoto
- Journal Title
  
  Computational Statistics and Data Analysis
  
  Volume: 191 Pages: 107889-107889
- DOI
  10.1016/j.csda.2023.107889
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K13835, KAKENHI-PROJECT-23K20592
[Journal Article] Approximate Gibbs sampler for Bayesian Huberized lasso2023
- Author(s)
  Jun Kawakami, Shintaro Hashimoto
- Journal Title
  
  Journal of Statistical Computation and Simulation
  
  Volume: 93 Issue: 1 Pages: 128-162
- DOI
  10.1080/00949655.2022.2096886
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K13835, KAKENHI-PROJECT-23K20592
[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] Predictive probability matching priors for a certain non-regular model2021
- Author(s)
  Hashimoto Shintaro
- Journal Title
  
  Statistics & Probability Letters
  
  Volume: 174 Pages: 109096-109096
- DOI
  10.1016/j.spl.2021.109096
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14233, KAKENHI-PROJECT-23K20592
[Journal Article] Reference priors via α-divergence for a certain non-regular model in the presence of a nuisance parameter2021
- Author(s)
  Hashimoto Shintaro
- Journal Title
  
  Journal of Statistical Planning and Inference
  
  Volume: 213 Pages: 162-178
- DOI
  10.1016/j.jspi.2020.11.007
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K14233, KAKENHI-PROJECT-23K20592
[Journal Article] Improvement of Bobrovsky-Mayor-Wolf-Zakai Bound2021
- Author(s)
  Koike Ken-ichi、Hashimoto Shintaro
- Journal Title
  
  Entropy
  
  Volume: 23 Issue: 2 Pages: 161-161
- DOI
  10.3390/e23020161
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K14233, KAKENHI-PROJECT-20K11702
[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] 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] On Default Priors for Robust Bayesian Estimation with Divergences2020
- Author(s)
  Nakagawa Tomoyuki、Hashimoto Shintaro
- Journal Title
  
  Entropy
  
  Volume: 23 Issue: 1 Pages: 29-29
- DOI
  10.3390/e23010029
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K14597, KAKENHI-PROJECT-17K14233
[Journal Article] Objective priors for divergence-based robust estimation2020
- Author(s)
  Tomoyuki Nakagawa and Shintaro Hashimoto
- Journal Title
  
  arXiv preprint
  
  Volume: -
- Data Source
  KAKENHI-PROJECT-17K14233
[Journal Article] Bobrovsky-Mayor-Wolf-Zakaiの下界の改良2020
- Author(s)
  小池健一，橋本真太郎
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2157 Pages: 31-38
- Open Access
- Data Source
  KAKENHI-PROJECT-17K14233
[Journal Article] Moment matching priors for non-regular models2019
- Author(s)
  Shintaro Hashimoto
- Journal Title
  
  Journal of Statistical Planning and Inference
  
  Volume: 203 Pages: 169-177
- DOI
  10.1016/j.jspi.2019.03.009
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14233
[Journal Article] Robust Bayesian inference via gamma-divergence2019
- Author(s)
  Tomoyuki Nakagawa and Shintaro Hashimoto
- Journal Title
  
  Communications in Statistics Theory and Methods
  
  Volume: online Issue: 2 Pages: 343-360
- DOI
  10.1080/03610926.2018.1543765
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14233
[Journal Article] Robust Bayesian Regression with Synthetic Posterior2019
- Author(s)
  Shintaro Hashimoto and Shonosuke Sugasawa
- Journal Title
  
  arXiv preprint
  
  Volume: -
- Data Source
  KAKENHI-PROJECT-17K14233
[Journal Article] Objective priors via moment matching criterion for non-regular models2018
- Author(s)
  Shintaro Hashimoto
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2091 Pages: 55-64
- Data Source
  KAKENHI-PROJECT-17K14233
[Journal Article] Robust estimation of skew-normal distribution with location and scale parameters via log-regularly varying functions2017
- Author(s)
  Shintaro Hashimoto
- Journal Title
  
  International Journal of Statistics and Systems
  
  Volume: 12 Pages: 813-822
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K14233
[Journal Article] Comparison of two robust Bayes estimations using the divergence2017
- Author(s)
  中川智之，橋本真太郎
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2047 Pages: 55-66
- Open Access
- Data Source
  KAKENHI-PROJECT-17K14233
[Journal Article] Robust estimation of location and scale parameters for skew-normal distribution using log-Pareto function2017
- Author(s)
  橋本真太郎
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2047 Pages: 67-76
- Open Access
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] ノンパラメトリックベイズ法を用いたネットワークデータのコミュニティ検出2024
- Author(s)
  岩重文也, 鬼塚貴広，橋本真太郎
- Organizer
  RIMS 共同研究(グループ型A)による研究会「確率モデルと統計的推測」
- Invited
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] ベイズ法による外れ値に頑健なグラフィカルモデル2024
- Author(s)
  鬼塚貴広, 橋本真太郎
- Organizer
  第18回日本統計学会春季集会
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] Robust Bayesian graphical modeling using gamma-divergence2024
- Author(s)
  鬼塚貴広, 橋本真太郎
- Organizer
  RIMS 共同研究(グループ型A)による研究会「確率モデルと統計的推測」
- Invited
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] 有限混合モデルの混合事前分布を用いた次数修正確率的ブロックモデルのベイズ推定2023
- Author(s)
  岩重文也, 鬼塚貴広，橋本真太郎
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] ガンマダイバージェンスに基づくベイジアングラフィカルモデル2023
- Author(s)
  鬼塚貴広, 橋本真太郎
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] 非正則な統計モデルに対するベイズ予測のための確率一致事前分布2023
- Author(s)
  橋本真太郎
- Organizer
  科研費シンポジウム「ベイズモデリングの最近の展開」
- Invited
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] 有限混合モデルの混合事前分布を用いた確率的ブロックモデルのベイズ推測2023
- Author(s)
  岩重文也, 橋本真太郎
- Organizer
  2023年度科研費シンポジウム「データサイエンスにおける統計的理論・方法論の新展開」
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] 非正則な統計モデルに対するベイズ予測のための確率一致事前分布2023
- Author(s)
  橋本真太郎
- Organizer
  科研費シンポジウム「ベイズモデリングの最近の展開」
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] Robust Bayesian Inference for Censored Survival Models2023
- Author(s)
  羽村靖之, 鬼塚貴広，橋本真太郎，菅澤翔之助
- Organizer
  2023年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] A new class of global-local shrinkage priors for high-dimensional positive-valued data2022
- Author(s)
  橋本真太郎
- Organizer
  広島大学統計金曜セミナー
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] A new class of global-local shrinkage priors on gamma-distributed observations2022
- Author(s)
  橋本真太郎
- Organizer
  東京大学応用統計ワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] Approximate Gibbs sampler for Bayesian Huberized lasso regression2022
- Author(s)
  橋本真太郎
- Organizer
  日本計算機統計学会第36回大会
- Invited
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] Approximate Gibbs sampler for Bayesian Huberized lasso regression2022
- Author(s)
  橋本真太郎
- Organizer
  日本計算機統計学会第36回大会
- Invited
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] Sparse Bayesian inference on gamma-distributed observation2022
- Author(s)
  橋本真太郎
- Organizer
  科研費シンポジウム「大規模複雑データの理論と方法論?ー新たな発展と関連分野への応用?ー」
- Invited
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] Bayesian sparse signal recovery for high-dimensional positive-valued data using shape-scale inverse-gamma mixtures2022
- Author(s)
  Shintaro Hashimoto
- Organizer
  2022年度統計関連学会連合大会 - 2022 JSS-KSS-CSA Joint Session (1): Computational Statistics,
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] Bayesian sparse signal recovery for high-dimensional positive-valued data using shape-scale inverse-gamma mixtures2022
- Author(s)
  橋本真太郎
- Organizer
  2022年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] Sparse Bayesian inference on gamma-distributed observation2022
- Author(s)
  橋本真太郎
- Organizer
  科研費シンポジウム「大規模複雑データの理論と方法論～新たな発展と関連分野への応用～」
- Invited
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] A new class of global-local shrinkage priors on gamma-distributed observations2022
- Author(s)
  橋本真太郎
- Organizer
  応用統計ワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] 非正則モデルに対するベイズ予測型確率一致事前分布について2021
- Author(s)
  橋本真太郎
- Organizer
  広島大学統計金曜セミナー
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] 非正則モデルに対するベイズ予測型確率一致事前分布について2021
- Author(s)
  橋本真太郎
- Organizer
  日本数学会2021年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] 非正則モデルに対するベイズ予測型確率一致事前分布について2021
- Author(s)
  橋本真太郎
- Organizer
  慶応大学経済研究所計量経済ワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] 非正則な統計モデルに対するベイズ予測のための確率一致事前分布2021
- Author(s)
  橋本真太郎
- Organizer
  東京理科大学第8回統計科学セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] Robust Bayesian Changepoint Analysis in the Presence of Outliers2021
- Author(s)
  橋本真太郎
- Organizer
  13th KES International Conference on Intelligent Decision Technologies KES-IDT-21
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] Robust Bayesian regression with synthetic posterior2021
- Author(s)
  橋本真太郎
- Organizer
  4th International Conference on Econometrics and Statistics (EcoSta 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] 非正則モデルに対するベイズ予測型確率一致事前分布について2021
- Author(s)
  橋本真太郎
- Organizer
  日本数学会2021年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] 非正則な統計モデルに対するベイズ予測のための確率一致事前分布2021
- Author(s)
  橋本真太郎
- Organizer
  東京理科大学第8回統計科学セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-23K20592
[Presentation] Robust Bayesian regression with synthetic posterior2021
- Author(s)
  Shintaro Hashimoto
- Organizer
  4th International Conference on Econometrics and Statistics (EcoSta 2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] Robust Bayesian Changepoint Analysis in the Presence of Outliers2021
- Author(s)
  Shintaro Hashimoto
- Organizer
  13th KES International Conference on Intelligent Decision Technologies KES-IDT-21
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] 非正則モデルに対するベイズ予測型確率一致事前分布について2021
- Author(s)
  橋本真太郎
- Organizer
  慶応大学経済研究所計量経済ワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] 非正則モデルに対するベイズ予測型確率一致事前分布について2021
- Author(s)
  橋本真太郎
- Organizer
  広島大学統計金曜セミナー
- Data Source
  KAKENHI-PROJECT-21K13835
[Presentation] Robust Bayesian modeling with synthetic posterior2020
- Author(s)
  橋本真太郎
- Organizer
  広島大学統計金曜セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] Moment matching priors for non-regular cases2019
- Author(s)
  Shintaro Hashimoto
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] 一般事後分布に基づくベイズ推論とその応用2019
- Author(s)
  Shintaro Hashimoto
- Organizer
  日本数学会2019年度秋季総合分科会
- Invited
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] Moment matching priors for non-regular models2019
- Author(s)
  Shintaro Hashimoto
- Organizer
  EAC-ISBA 2019 conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] Robust parameter estimation based on quasi-posterior distributions2018
- Author(s)
  Shintaro Hashimoto
- Organizer
  RIMS共同研究（公開型）「高次元量子雑音の統計モデリング」
- Invited
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] Robust Bayesian estimation based on gamma-divergence2018
- Author(s)
  Shintaro Hashimoto
- Organizer
  2018 ISBA World Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] 非正則な確率分布族に対するmoment matching priorについて2018
- Author(s)
  橋本真太郎
- Organizer
  RIMS共同研究による研究会"Statistical Inference and Modelling”
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] Robust Bayesian inference via weighted likelihood functions2018
- Author(s)
  Shintaro Hashimoto
- Organizer
  York - Hiroshima Joint Symposium 2018``Statistical Penalisation Methods and Dimension Reduction Methods for Economic and Financial Analysis"
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] Statistical inference in terms of Bayesian inverse problem2017
- Author(s)
  Shintaro Hashimoto
- Organizer
  Workshop for young scholars Control and inverse problems on waves, oscillations and flows -Mathematical analysis and computational methods-
- Invited
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] Robust Bayesian inference based on quasi-posterior distributions2017
- Author(s)
  Shintaro Hashimoto
- Organizer
  Statistics seminar in Radiation Effects Research Foundation
- Invited
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] ダイバージェンスに基づくベイズ推定量の漸近的性質とロバスト性について2017
- Author(s)
  橋本真太郎
- Organizer
  統計サマーセミナー2017
- Data Source
  KAKENHI-PROJECT-17K14233
[Presentation] Asymptotic properties and robustness for the Bayes estimator based on the divergence2017
- Author(s)
  橋本真太郎
- Organizer
  2017年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-17K14233

1. KOIKE Ken-ichi (90260471)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 赤平昌文 (70017424)

# of Collaborated Projects: 1 results

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3. 菅澤翔之助 (50782380)

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4. 入江薫 (20789169)

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5. 中川智之 (70822526)

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# of Collaborated Products: 1 results
6. 小林弦矢 (00725103)

# of Collaborated Projects: 1 results

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Hashimoto Shintaro 橋本 真太郎

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非正則回帰モデルにおける変数選択とベイズ計算手法の研究Principal Investigator

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非正則回帰モデルのベイズ推測理論とその応用Principal Investigator

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大規模データに対するベイズモデリングの新展開

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Efficiencies by Bayesian information inequalities

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Objective Bayes methods for non-regular statistical modelsPrincipal Investigator

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[Book] 標準 ベイズ統計学2022

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[Journal Article] Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations2024

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[Journal Article] Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo2024

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[Journal Article] Bayesian boundary trend filtering2024

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[Journal Article] Approximate Gibbs sampler for Bayesian Huberized lasso2023

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[Journal Article] Sparse Bayesian Inference on Gamma-Distributed Observations Using Shape-Scale Inverse-Gamma Mixtures2022

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[Journal Article] Predictive probability matching priors for a certain non-regular model2021

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[Journal Article] Reference priors via α-divergence for a certain non-regular model in the presence of a nuisance parameter2021

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[Journal Article] Improvement of Bobrovsky-Mayor-Wolf-Zakai Bound2021

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Hashimoto Shintaro 橋本真太郎

[Book] 標準　ベイズ統計学2022

[Presentation] ノンパラメトリックベイズ法を用いたネットワークデータのコミュニティ検出2024