統計数理研究所共同利用 2023年度重点型研究研究集会「高次元データ解析・スパース推定法・モデル選択法の開発と融合」 (Development and Integration of High-Dimensional Data Analysis, Sparse Estimation, and Model Selection Methods)

10:30-11:10	On the marginal screening under the least absolute deviation regression models 梅津佑太（長崎大）
11:20-12:00	On the variable selection and prediction by geographically weighted sparse group Lasso 大石峰暉（東北大）
	休憩

13:30-14:10	An estimation algorithm for three-mode GMANOVA Rei Monden (Hiroshima University)
14:20-15:00	Asymptotic loss efficiency of a model selection criterion in a high-dimensional GMANOVA model Ryoya Oda (Hiroshima University)
	休憩

15:30-16:10	High-dimensional multiple testing under confounding Shota Katayama (Keio University)
16:20-17:00	Denoised IPW-Lasso for Heterogeneous Treatment Effect Estimation in Randomized Experiments, もしくは, A Misuse of Specification Tests Naoya Sueishi (Kobe University)

統計数理研究所 共同利用 2023年度 重点型研究 研究集会 「高次元データ解析・スパース推定法・モデル選択法の開発と融合」 (Development and Integration of High-Dimensional Data Analysis, Sparse Estimation, and Model Selection Methods)