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stat.ML2025
High-Dimensional Importance-Weighted Information Criteria: Theory and Optimality
Yong-Syun Cao, Shinpei Imori, Ching-Kang Ing
Imori and Ing (2025) proposed the importance-weighted orthogonal greedy algorithm (IWOGA) for model selection in high-dimensional misspecified regression models under covariate shi…
stat.ML2019
Model selection for high-dimensional linear regression with dependent observations
Ching-Kang Ing
We investigate the prediction capability of the orthogonal greedy algorithm (OGA) in high-dimensional regression models with dependent observations. The rates of convergence of the…