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Goodness-of-fit Tests for high-dimensional Gaussian linear models

Goodness-of-fit Tests for high-dimensional Gaussian linear models

Nicolas Verzélen
Fanny Villers
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Papers citing "Goodness-of-fit Tests for high-dimensional Gaussian linear models"

4 / 4 papers shown
Title
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation
Dylan J. Foster
A. Krishnamurthy
D. Simchi-Levi
Yunzong Xu
OffRL
11
62
0
21 Nov 2021
High dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints
High dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints
Q. Han
B. Sen
Yandi Shen
28
3
0
07 Oct 2020
Optimal estimation of variance in nonparametric regression with random design
Optimal estimation of variance in nonparametric regression with random design
Yandi Shen
Chao Gao
Daniela Witten
Fang Han
20
19
0
27 Feb 2019
High-dimensional Gaussian model selection on a Gaussian design
High-dimensional Gaussian model selection on a Gaussian design
Nicolas Verzélen
60
15
0
15 Aug 2008