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Estimation of the $l_2$-norm and testing in sparse linear regression with unknown variance

Estimation of the l2l_2-norm and testing in sparse linear regression with unknown variance

Alexandra Carpentier
O. Collier
L. Comminges
Alexandre B. Tsybakov
Yuhao Wang
ArXiv (abs)PDFHTML

Papers citing "Estimation of the $l_2$-norm and testing in sparse linear regression with unknown variance"

6 / 6 papers shown
Title
Minimax estimation of functionals in sparse vector model with correlated observations
Minimax estimation of functionals in sparse vector model with correlated observations
Yuhao Wang
Pengkun Yang
Alexandre B. Tsybakov
89
0
0
20 Jul 2024
The Fundamental Limits of Structure-Agnostic Functional Estimation
The Fundamental Limits of Structure-Agnostic Functional Estimation
Sivaraman Balakrishnan
Edward H. Kennedy
Larry A. Wasserman
70
11
0
06 May 2023
Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models: Sharp Minimax Rates
Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models: Sharp Minimax Rates
J. Chhor
Rajarshi Mukherjee
Subhabrata Sen
92
5
0
15 Nov 2022
Sparse Uniformity Testing
Sparse Uniformity Testing
B. Bhattacharya
Rajarshi Mukherjee
50
4
0
22 Sep 2021
Near-Optimal Procedures for Model Discrimination with Non-Disclosure Properties
Near-Optimal Procedures for Model Discrimination with Non-Disclosure Properties
Dmitrii Ostrovskii
M. Ndaoud
Adel Javanmard
Meisam Razaviyayn
FedML
61
0
0
04 Dec 2020
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
79
3
0
07 Oct 2020