Yano Keisuke 矢野恵佑

Researcher Number	20806070
Other IDs
Affiliation (Current)	2025: 統計数理研究所, 統計基盤数理研究系, 准教授
Affiliation (based on the past Project Information) *help	2023 – 2024: 統計数理研究所, 統計基盤数理研究系, 准教授 2020 – 2023: 統計数理研究所, 数理・推論研究系, 准教授 2017 – 2019: 東京大学, 大学院情報理工学系研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related / Statistical science Except Principal Investigator Basic Section 61040:Soft computing-related / Medium-sized Section 16:Astronomy and related fields / Transformative Research Areas, Section (II)
Keywords	Principal Investigator 高次元統計 / 予測分布 / 時空間データ / 予測 / 不確実性評価 / 時系列 / spectral divergence / 擬ベイズ法 / スパースモデリング / カウントデータ … More / リンク回帰 / 類似度学習 / 不均一性 / information criterion / divergence / Markov chain Monte Carlo / Hierarchical model / Bayesian prediction / ベイズ統計 / MCMC / ベイズ予測 / 情報量規準 / 数理工学 / 統計数学 / 転移学習 / 分布予測 / 機械学習 / 擬似ベイズ … More Except Principal Investigator 因果推論 / ブートストラップ法 / MCMC / ベイズ統計 / 統計計算・コンピュータ支援統計 / 統計的学習理論 / 宇宙論 / 銀河形成・進化 / 理論天文学 / 実験計画法 / 地震カタログ / 地球物理学 / 情報科学 / Slow-to-Fast地震現象 / Slow地震 / マルコフ連鎖モンテカルロ法 / 情報量規準 / PCIC / WAIC / model selection / Markov chain Monte Carlo / covariate shift / causal inference / Bayesian statistics / 共変量シフト / sensitivity / モデル選択 / 正定値カーネル Less

計算統計の観点からのベイズ統計と頻度論の融合
- Principal Investigator
  
  伊庭幸人
- Project Period (FY)
  2024 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  The Institute of Statistical Mathematics
Machine-Learning-Reinforced Cosmic Structure Formation: From Large-Scale Structure Formation to Galaxy Evolution
- Principal Investigator
  
  竹内努
- Project Period (FY)
  2024 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 16:Astronomy and related fields
- Research Institution
  Nagoya University
Uncertainty evaluation and prediction of spatio-temporal dataPrincipal Investigator
- Principal Investigator
  
  矢野恵佑
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  The Institute of Statistical Mathematics
予測概念の多様性に対応した情報量規準の開発：計算統計的アプローチ
- Principal Investigator
  
  伊庭幸人
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  The Institute of Statistical Mathematics
Data-driven discovery and monitoring of Slow-to-Fast Earthquakes
- Principal Investigator
  
  加藤愛太郎
- Project Period (FY)
  2021 – 2025
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  The University of Tokyo
Construction of estimation methods and their uncertainty quantification methods for high-dimensional count data focusing on structural constraintsPrincipal Investigator
- Principal Investigator
  
  Yano Keisuke
- Project Period (FY)
  2019 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  The Institute of Statistical Mathematics
  The University of Tokyo
Efficient predictive density for transfer learning under high-dimensional settingsPrincipal Investigator
- Principal Investigator
  
  Yano Keisuke
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Statistical science
- Research Institution
  The University of Tokyo

All 2024 2023 2022 2021 2020 2019 2018 2017

All Journal Article Presentation

[Journal Article] Minimum information dependence modeling2024
- Author(s)
  Tomonari Sei and Keisuke Yano
- Journal Title
  
  Bernoulli
  
  Volume: －
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20222
[Journal Article] Minimum information dependence modeling2024
- Author(s)
  Tomonari Sei and Keisuke Yano
- Journal Title
  
  Bernoulli
  
  Volume: 0 Pages: 0-0
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K11024
[Journal Article] Dependence of variance on covariate design in nonparametric link regression2023
- Author(s)
  Okuno Akifumi、Yano Keisuke
- Journal Title
  
  Statistics & Probability Letters
  
  Volume: 193 Pages: 109716-109716
- DOI
  10.1016/j.spl.2022.109716
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20222, KAKENHI-PROJECT-21K17718
[Journal Article] Posterior Covariance Information Criterion for Weighted Inference.2023
- Author(s)
  Yukito Iba, Keisuke Yano
- Journal Title
  
  Neural Computation
  
  Volume: 35 Issue: 7 Pages: 1340-1361
- DOI
  10.1162/neco_a_01592
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K12067, KAKENHI-PROJECT-23K11024, KAKENHI-PROJECT-19K20222
[Journal Article] A generalization gap estimation for overparameterized models via the Langevin functional variance2023
- Author(s)
  Okuno Akifumi、Yano Keisuke
- Journal Title
  
  Journal of Computational and Graphical Statistics
  
  Volume: 1 Issue: 4 Pages: 1-20
- DOI
  10.1080/10618600.2023.2197488
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K20222, KAKENHI-PROJECT-21K17718, KAKENHI-PROJECT-21K12067, KAKENHI-PROJECT-23K11024
[Journal Article] Structured regularization based velocity structure estimation in local earthquake tomography for the adaptation to velocity discontinuities2022
- Author(s)
  Yamanaka Yohta、Kurata Sumito、Yano Keisuke、Komaki Fumiyasu、Shiina Takahiro、Kato Aitaro
- Journal Title
  
  Earth, Planets and Space
  
  Volume: 74 Issue: 1 Pages: 43-43
- DOI
  10.1186/s40623-022-01600-x
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19753, KAKENHI-PLANNED-21H05205
[Journal Article] l1 Trend Filtering‐Based Detection of Short‐Term Slow Slip Events: Application to a GNSS Array in Southwest Japan2022
- Author(s)
  Yano Keisuke、Kano Masayuki
- Journal Title
  
  Journal of Geophysical Research: Solid Earth
  
  Volume: 127 Issue: 5
- DOI
  10.1029/2021jb023258
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K03694, KAKENHI-PLANNED-21H05205
[Journal Article] Minimax predictive density for sparse count data2021
- Author(s)
  Yano Keisuke、Kaneko Ryoya、Komaki Fumiyasu
- Journal Title
  
  Bernoulli
  
  Volume: 27 Issue: 2 Pages: 1212-1238
- DOI
  10.3150/20-bej1271
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20222, KAKENHI-PLANNED-16H06533
[Journal Article] A convolutional neural network-based classification of local earthquakes and tectonic tremors in Sanriku-oki, Japan, using S-net data2021
- Author(s)
  Takahashi Hidenobu、Tateiwa Kazuya、Yano Keisuke、Kano Masayuki
- Journal Title
  
  Earth, Planets and Space
  
  Volume: 73 Issue: 1 Pages: 186-186
- DOI
  10.1186/s40623-021-01524-y
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03796, KAKENHI-PROJECT-21K03694, KAKENHI-PLANNED-21H05205, KAKENHI-PLANNED-21H05206
[Journal Article] Optimal Shrinkage Estimation of Predictive Densities Under α-Divergences2021
- Author(s)
  George Edward、Mukherjee Gourab、Yano Keisuke
- Journal Title
  
  Bayesian Analysis
  
  Volume: 16 Issue: 4 Pages: 1139-1155
- DOI
  10.1214/21-ba1264
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Journal Article] Adjacency-based regularization for partially ranked data with non-ignorable missing2020
- Author(s)
  Kento Nakamura, Keisuke Yano, and Fumiyasu Komaki
- Journal Title
  
  Computational Statistics & Data Analysis
  
  Volume: 145 Pages: 106905-106905
- DOI
  10.1016/j.csda.2019.106905
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20222, KAKENHI-PLANNED-16H06533
[Journal Article] On frequentist coverage errors of Bayesian credible sets in moderately high dimensions2020
- Author(s)
  Keisuke Yano and Kengo Kato
- Journal Title
  
  Bernoulli
  
  Volume: 26 Issue: 1 Pages: 616-641
- DOI
  10.3150/19-bej1142
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Journal Article] Scoring rules for statistical models on spheres2018
- Author(s)
  Takasu Y., Yano K., Komaki, F.
- Journal Title
  
  Statistics & Probability Letters
  
  Volume: 138 Pages: 111-115
- DOI
  10.1016/j.spl.2018.02.054
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-26280005, KAKENHI-PROJECT-17H06570, KAKENHI-PLANNED-16H06533
[Presentation] 最小情報従属モデルを用いた混合ドメイン多変量解析2023
- Author(s)
  Keisuke Yano
- Organizer
  令和5年度第2回日本大学生産工学部人工知能リサーチセンター講演会
- Invited
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] 重み付き推論における汎化性能推定のための事後共分散型情報量規準2023
- Author(s)
  矢野恵佑
- Organizer
  大阪大学数理・データ科学セミナーデータ科学セミナーシリーズ第58回
- Data Source
  KAKENHI-PROJECT-21K12067
[Presentation] 重み付き推論における汎化性能推定のための事後共分散型情報量規準2023
- Author(s)
  Keisuke Yano
- Organizer
  大阪大学数理・データ科学セミナーデータ科学セミナーシリーズ
- Invited
- Data Source
  KAKENHI-PROJECT-23K11024
[Presentation] Recent advances of data science techniques in seismology2023
- Author(s)
  Yano, K.
- Organizer
  Slow-to-Fast earthquake Workshop in Taiwan
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-21H05205
[Presentation] A new approach to mixed-domain and higher-order dependence modeling2023
- Author(s)
  Keisuke Yano
- Organizer
  Global Plasma Forum in Aomori
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K11024
[Presentation] A new approach to mixed-domain and higher-order dependence modeling2023
- Author(s)
  Keisuke Yano
- Organizer
  Global Plasma Forum in Aomori
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] 重み付き推論における汎化性能推定のための事後共分散型情報量規準2023
- Author(s)
  Keisuke Yano
- Organizer
  大阪大学数理・データ科学セミナーデータ科学セミナーシリーズ
- Invited
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] 最小情報従属モデルを用いた混合ドメイン多変量解析2023
- Author(s)
  Keisuke Yano
- Organizer
  令和5年度第2回日本大学生産工学部人工知能リサーチセンター講演会
- Invited
- Data Source
  KAKENHI-PROJECT-23K11024
[Presentation] 高次元・無限次元モデルにおける予測分布2022
- Author(s)
  矢野恵佑
- Organizer
  日本統計学会各賞受賞者記念講演
- Invited
- Data Source
  KAKENHI-PROJECT-21K12067
[Presentation] 高次元・無限次元モデルにおける予測分布2022
- Author(s)
  矢野恵佑
- Organizer
  日本統計学会各賞受賞者記念講演
- Invited
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] 高次元・無限次元モデルにおける予測分布2022
- Author(s)
  矢野恵佑
- Organizer
  2022年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PLANNED-21H05205
[Presentation] 構造正則化を応用した地震波トモグラフィ法による速度不連続面の検出2021
- Author(s)
  倉田澄人, 山中遥太, 矢野恵佑, 駒木文保, 椎名高裕, 加藤愛太郎
- Organizer
  日本地震学会2021年度秋季大会
- Data Source
  KAKENHI-PLANNED-21H05205
[Presentation] 擬ベイズ事後分布に基づく予測評価のための情報量規準2021
- Author(s)
  矢野恵佑, 伊庭幸人
- Organizer
  2021年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] 予測分布論の最近の進展2021
- Author(s)
  矢野恵佑
- Organizer
  日本数学会
- Invited
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] 擬ベイズ事後分布に基づく予測評価のための情報量規準2021
- Author(s)
  矢野恵佑, 伊庭幸人
- Organizer
  2021年度統計関連学会連合大会(一般講演).
- Data Source
  KAKENHI-PROJECT-21K12067
[Presentation] 西南日本 GNSS アレイからの短期スロースリップ現象の検出:l1トレンドフィルタリングによるアプローチ2021
- Author(s)
  矢野恵佑, 加納将行
- Organizer
  日本測地学会第136回講演会
- Data Source
  KAKENHI-PLANNED-21H05205
[Presentation] 予測の情報量規準2021
- Author(s)
  矢野恵佑
- Organizer
  情報計測オンラインセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-21K12067
[Presentation] l1トレンドフィルタリングによる西南日本GNSSアレイからの短期スロースリップ現象の検出2021
- Author(s)
  矢野恵佑, 加納将行
- Organizer
  日本地震学会2021年度秋季大会
- Data Source
  KAKENHI-PLANNED-21H05205
[Presentation] 予測分布論の最近の進展2021
- Author(s)
  矢野恵佑
- Organizer
  日本数学会(特別講演).
- Invited
- Data Source
  KAKENHI-PROJECT-21K12067
[Presentation] On estimating generalization gaps via the functional variance in overparameterized models2021
- Author(s)
  Keisuke Yano
- Organizer
  CMStatistics2021
- Invited
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] On estimating generalization gaps via the functional variance in overparameterized models2021
- Author(s)
  Yano, K.
- Organizer
  CMStatistics2021
- Invited
- Data Source
  KAKENHI-PROJECT-21K12067
[Presentation] 予測の情報量規準2021
- Author(s)
  矢野恵佑
- Organizer
  情報計測オンラインセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] The Berry--Esseen type bound for the Bernstein--von Mises theorem in moderately high dimensions2019
- Author(s)
  Keisuke Yano
- Organizer
  EAC-ISBA 2019, Japan
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] On estimation and prediction for high-dimensional Poisson models with quasi-zero inflation2019
- Author(s)
  Keisuke Yano
- Organizer
  CMStatistics 2019 , UK
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] On frequentist coverage errors of Bayesian credible sets in moderately high dimensions, Italy, 24 July (22-26 July), 2019.2019
- Author(s)
  Keisuke Yano
- Organizer
  European Meeting of Statisticians (EMS 2019), Italy
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] Risk-estimation based predictive densities for heteroskedastic hierarchical models2019
- Author(s)
  Keisuke Yano
- Organizer
  ICSA 2019, China
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] Earthquake detection using deep learning for continuous seismic network records2019
- Author(s)
  Keisuke Yano, Takahiro Shiina, Sumito Kurata, Aitaro Kato, Fumiyasu Komaki, Shin'ichi Sakai, Naoshi Hirata
- Organizer
  StatSei11, Japan
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] ベイズl1トレンドフィルタリングによるスロースリップ自動検知2019
- Author(s)
  矢野恵佑, 加納将行
- Organizer
  固体地球科学データ同化に関する研究会
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] On the construction of adaptive predictive densities for sparse count data2019
- Author(s)
  Keisuke Yano
- Organizer
  EcoSta 2019, Taiwan
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] Adaptive minimax predictive density for sparse Poisson models2019
- Author(s)
  Keisuke Yano
- Organizer
  Banff workshop "New and Evolving Roles of Shrinkage in Large-Scale Prediction and Inference (19w5188)", Canada
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20222
[Presentation] Inequalities for minimax Renyi divergence2018
- Author(s)
  矢野恵佑
- Organizer
  2018年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-17H06570
[Presentation] Non-asymptotic minimax Bayesian nonparametric estimation based on invariance2018
- Author(s)
  矢野恵佑
- Organizer
  Current topics on algebraic statistics and related fields
- Data Source
  KAKENHI-PROJECT-17H06570
[Presentation] Divergence for statistical analysis of spherical data2018
- Author(s)
  矢野恵佑
- Organizer
  シンポジウム「統計・機械学習の交わりと広がり」
- Invited
- Data Source
  KAKENHI-PROJECT-17H06570
[Presentation] Non-asymptotic minimax adaptiation and weak admissibility using random sieve priors2018
- Author(s)
  Keisuke Yano
- Organizer
  The 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06570
[Presentation] Non-asymptotic Bayesian minimax adaptation in several nonparametric models2018
- Author(s)
  矢野恵佑
- Organizer
  企画セッション「New trends in Bayesian perspective」, 2018年度統計関連学会連合大会
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06570
[Presentation] Finite sample bound for the Bernstein-von Mises theorem，2017
- Author(s)
  矢野恵佑，加藤賢悟
- Organizer
  2017年度統計関連学会連合大会，愛知，2017.
- Data Source
  KAKENHI-PROJECT-17H06570
[Presentation] Nonparametric regression for manifold data via embedding distance2017
- Author(s)
  今泉允章，矢野恵佑
- Organizer
  2017年度統計関連学会連合大会，愛知，2017.
- Data Source
  KAKENHI-PROJECT-17H06570
[Presentation] 階層化したモデル平均化法を用いたオンライン集団学習2017
- Author(s)
  岡田誠，矢野恵佑，駒木文保
- Organizer
  第11回日本統計学会春季集会，東京，2017.
- Data Source
  KAKENHI-PROJECT-17H06570
[Presentation] Online Ensemble Learning Using Hierarchical Bayesian Model Averaging2017
- Author(s)
  Makoto Okada, Keisuke Yano, and Fumiyasu Komaki
- Organizer
  IFCS-2017, Japan, 2017.
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H06570
[Presentation] Weak admissibility in high-dimensional and nonparametric statistical models2017
- Author(s)
  矢野恵佑，駒木文保
- Organizer
  2017年度統計関連学会連合大会，愛知，2017.
- Data Source
  KAKENHI-PROJECT-17H06570

1. 伊庭幸人 (30213200)

# of Collaborated Projects: 2 results

# of Collaborated Products: 2 results
2. 加藤愛太郎 (20359201)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
3. 武村俊介 (10750200)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 中野優 (40314041)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 松田孟留 (50808475)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 内田直希 (80374908)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 内出崇彦 (80713049)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 三井雄太 (80717950)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 小寺祐貴 (80780741)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 竹尾明子 (90756933)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 大久保祐作 (60871100)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 竹内努 (90436072)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
13. 本武陽一 (80848672)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
14. 今泉允聡 (90814088)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
15. 高畠哲也 (80846949)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
16. Andrew Barron

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
17. Kato Kengo

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
18. Komaki Fumiyasu

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
19. Gourab Mukherjee

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
20. 倉田澄人

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
21. 加納将行

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Yano Keisuke 矢野 恵佑

Research Projects

Research Products

Co-Researchers

計算統計の観点からのベイズ統計と頻度論の融合

Principal Investigator

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Machine-Learning-Reinforced Cosmic Structure Formation: From Large-Scale Structure Formation to Galaxy Evolution

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Uncertainty evaluation and prediction of spatio-temporal dataPrincipal Investigator

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予測概念の多様性に対応した情報量規準の開発：計算統計的アプローチ

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Data-driven discovery and monitoring of Slow-to-Fast Earthquakes

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Construction of estimation methods and their uncertainty quantification methods for high-dimensional count data focusing on structural constraintsPrincipal Investigator

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Efficient predictive density for transfer learning under high-dimensional settingsPrincipal Investigator

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[Journal Article] Minimum information dependence modeling2024

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[Journal Article] Minimum information dependence modeling2024

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[Journal Article] Dependence of variance on covariate design in nonparametric link regression2023

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[Journal Article] Posterior Covariance Information Criterion for Weighted Inference.2023

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[Journal Article] A generalization gap estimation for overparameterized models via the Langevin functional variance2023

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[Journal Article] Structured regularization based velocity structure estimation in local earthquake tomography for the adaptation to velocity discontinuities2022

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[Journal Article] l1 Trend Filtering‐Based Detection of Short‐Term Slow Slip Events: Application to a GNSS Array in Southwest Japan2022

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[Journal Article] Minimax predictive density for sparse count data2021

Yano Keisuke 矢野恵佑