Rchr
J-GLOBAL ID:201801010481310664
Update date: Nov. 08, 2024
Yano Keisuke
Yano Keisuke
Affiliation and department:
Job title:
准教授 (Associate Professor)
Homepage URL (1):
https://sites.google.com/site/kyanostat/
Research field (1):
Statistical science
Research theme for competitive and other funds (8):
- 2024 - 2029 Machine-Learning-Reinforced Cosmic Structure Formation: From Large-Scale Structure Formation to Galaxy Evolution
- 2024 - 2029 計算統計の観点からのベイズ統計と頻度論の融合
- 2023 - 2026 Uncertainty evaluation and prediction of spatio-temporal data
- 2021 - 2026 Data-driven discovery and monitoring of Slow-to-Fast Earthquakes
- 2021 - 2024 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
- 2019 - 2023 構造制約に着目した高次元カウントデータの未知母数推定法と不確実性評価法の構築
- 2017 - 2019 Efficient predictive density for transfer learning under high-dimensional settings
- 2015 - 2017 ミニマックスなベイズ予測分布の構成法とモデル選択への応用
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Papers (18):
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H. Hino, K. Yano. An embedding structure of determinantal point process. Information Geometry. 2024
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Tomonari Sei, Keisuke Yano. Minimum information dependence modeling. Bernoulli. 2024. 30. 4
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Yusuke Tanaka, Masayuki Kano, Takuya Nishimura, Yusaku Ohta, Keisuke Yano. Numerical experiment toward simultaneous estimation of the spatiotemporal evolution of interseismic fault slips and block motions in southwest Japan. Earth, Planets and Space. 2024. 76. 1
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Yukito Iba, Keisuke Yano. Posterior Covariance Information Criterion for Weighted Inference. Neural Computation. 2023. 35. 7. 1340-1361
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Akifumi Okuno, Keisuke Yano. A generalization gap estimation for overparameterized models via the Langevin functional variance. Journal of Computational and Graphical Statistics. 2023. 1-20
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MISC (3):
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Atsushi Takahashi, Masayuki Kano, Keisuke Yano. A GNSS-velocity clustering method applicable from local to global scales. 2024
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Michiko Okudo, Keisuke Yano. Matching prior pairs connecting Maximum A Posteriori estimation and posterior expectation. 2023
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Tetsuya Takabatake, Keisuke Yano. Towards a robust frequency-domain analysis: Spectral Rényi divergence revisited. 2023
Books (1):
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大規模計算時代の統計推論 : 原理と発展
共立出版 2020 ISBN:9784320114340
Lectures and oral presentations (12):
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最小情報従属モデルの地震カタログへの適用
(科学研究費・基盤研究(A) 「大規模複雑データの理論と方法論の革新的展開」主催 シンポジウム「あたらしい統計科学」 2024)
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Predictive inference in linear mixed models
(The 11th Tartu Conference on Multivariate Statistics 2024)
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地震学・測地学における最新のデータ科学的取り組み
(令和5年度京都大学災害リスクマネジメント工学セミナー 2024)
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A new approach to mixed-domain and higher-order dependence modeling
(Global Plasma Forum in Aomori 2023)
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最小情報従属モデルを用いた混合ドメイン多変量解析
(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 2023)
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Education (3):
- 2014 - 2017 The University of Tokyo Graduate School of Information Science and Technology Doctoral Program
- 2012 - 2014 The University of Tokyo The Graduate School of Information Science and Technology Master Course Program
- 2007 - 2012 The University of Tokyo The Faculty of Engineering Department of Mathematical Engineering and Information Physics
Professional career (2):
- 博士 (東京大学情報理工学系研究科)
- 修士 (東京大学情報理工学系研究科)
Work history (2):
- 2020/04 - 現在 The Institute of Statistical Mathematics Associate Professor
- 2017/04 - 2020/03 The University of Tokyo Department of Mathematical Informatics Assistant Professor
Committee career (2):
- 2024/04 - 現在 文部科学省 科学技術・学術政策研究所 専門調査員
- 2023/04 - 現在 Associate Editor of Annals of the Institute of Statistical Mathematics
Awards (1):
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