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 (6)：

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

Show all

Papers (16)：

Tomonari Sei and Keisuke Yano. Minimum information dependence modeling. Bernoulli. 2023
Yukito Iba, Keisuke Yano. Posterior Covariance Information Criterion for Weighted Inference. Neural Computation. 2023. 35. 7. 1340-1361
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
Akifumi Okuno, Keisuke Yano. Dependence of variance on covariate design in nonparametric link regression. Statistics and Probability Letters. 2023. 193. 109716-109716
Keisuke Yano, Masayuki Kano. l(1) Trend Filtering-Based Detection of Short-Term Slow Slip Events: Application to a GNSS Array in Southwest Japan. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH. 2022. 127. 5

ｍore...

Books (1)：

Lectures and oral presentations (9)：

A new approach to mixed-domain and higher-order dependence modeling
(Global Plasma Forum in Aomori 2023)
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)
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
(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 2023)
Recent advances of data science techniques in seismology
(Slow-to-Fast Earthquake Workshop in Taiwan 2023)
Minimum information dependence modeling for mixed domain data
(2022年度科学研究費シンポジウム 2022)

ｍore...

Professional career (2)：

Work history (1)：

2017/04 - 2020/03 The University of Tokyo Department of Mathematical Informatics Assistant Professor

Awards (1)：

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page