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Adaptive estimation of the sparsity in the Gaussian vector model

Adaptive estimation of the sparsity in the Gaussian vector model

Alexandra Carpentier
Nicolas Verzélen
ArXiv (abs)PDFHTML

Papers citing "Adaptive estimation of the sparsity in the Gaussian vector model"

9 / 9 papers shown
Title
Interpretation of local false discovery rates under the zero assumption
Interpretation of local false discovery rates under the zero assumption
Daniel Xiang
Nikolaos Ignatiadis
Peter McCullagh
22
0
0
13 Feb 2024
Estimating the number and effect sizes of non-null hypotheses
Estimating the number and effect sizes of non-null hypotheses
Jennifer Brennan
Ramya Korlakai Vinayak
Kevin Jamieson
24
3
0
17 Feb 2020
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing
Chao Gao
Zongming Ma
377
35
0
14 Nov 2018
Estimating minimum effect with outlier selection
Estimating minimum effect with outlier selection
Alexandra Carpentier
S. Delattre
Étienne Roquain
Nicolas Verzélen
81
9
0
21 Sep 2018
Uncoupled isotonic regression via minimum Wasserstein deconvolution
Uncoupled isotonic regression via minimum Wasserstein deconvolution
Philippe Rigollet
Jonathan Niles-Weed
110
64
0
27 Jun 2018
On estimation of nonsmooth functionals of sparse normal means
On estimation of nonsmooth functionals of sparse normal means
O. Collier
L. Comminges
Alexandre B. Tsybakov
36
13
0
28 May 2018
Adaptive robust estimation in sparse vector model
Adaptive robust estimation in sparse vector model
L. Comminges
O. Collier
M. Ndaoud
Alexandre B. Tsybakov
116
16
0
12 Feb 2018
Optimal rates of estimation for multi-reference alignment
Optimal rates of estimation for multi-reference alignment
Afonso S. Bandeira
Philippe Rigollet
Jonathan Niles-Weed
327
62
0
27 Feb 2017
Adaptive confidence sets in shape restricted regression
Adaptive confidence sets in shape restricted regression
Pierre C. Bellec
44
3
0
21 Jan 2016

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