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Adaptive estimation of the sparsity in the Gaussian vector model

Adaptive estimation of the sparsity in the Gaussian vector model

1 March 2017
Alexandra Carpentier
Nicolas Verzélen
ArXiv (abs)PDFHTML

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

7 / 7 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
10
0
0
13 Feb 2024
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
370
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
99
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
26
13
0
28 May 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
307
62
0
27 Feb 2017
Adaptive confidence sets in shape restricted regression
Adaptive confidence sets in shape restricted regression
Pierre C. Bellec
28
3
0
21 Jan 2016
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