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Model selection for high-dimensional linear regression with dependent
  observations

Model selection for high-dimensional linear regression with dependent observations

18 June 2019
C. Ing
ArXivPDFHTML

Papers citing "Model selection for high-dimensional linear regression with dependent observations"

4 / 4 papers shown
Title
High-Dimensional Importance-Weighted Information Criteria: Theory and Optimality
High-Dimensional Importance-Weighted Information Criteria: Theory and Optimality
Yong-Syun Cao
Shinpei Imori
Ching-Kang Ing
38
0
0
10 May 2025
Asymptotic normality in linear regression with approximately sparse
  structure
Asymptotic normality in linear regression with approximately sparse structure
Saulius Jokubaitis
R. Leipus
29
1
0
08 Mar 2022
High-Dimensional Knockoffs Inference for Time Series Data
High-Dimensional Knockoffs Inference for Time Series Data
Chien-Ming Chi
Yingying Fan
C. Ing
Jinchi Lv
AI4TS
32
6
0
18 Dec 2021
Bridging AIC and BIC: a new criterion for autoregression
Bridging AIC and BIC: a new criterion for autoregression
Jie Ding
Vahid Tarokh
Yuhong Yang
181
75
0
11 Aug 2015
1