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On deconvolution of distribution functions
v1v2 (latest)

On deconvolution of distribution functions

20 June 2010
I. Dattner
A. Goldenshluger
A. Juditsky
ArXiv (abs)PDFHTML

Papers citing "On deconvolution of distribution functions"

9 / 9 papers shown
Title
Structure Learning in Graphical Models from Indirect Observations
Structure Learning in Graphical Models from Indirect Observations
Hang Zhang
Afshin Abdi
Faramarz Fekri
CML
55
0
0
06 May 2022
Wasserstein convergence in Bayesian deconvolution models
Wasserstein convergence in Bayesian deconvolution models
Judith Rousseau
Catia Scricciolo
58
2
0
12 Nov 2021
Uncoupled isotonic regression via minimum Wasserstein deconvolution
Uncoupled isotonic regression via minimum Wasserstein deconvolution
Philippe Rigollet
Jonathan Niles-Weed
106
64
0
27 Jun 2018
Learning relationships between data obtained independently
Learning relationships between data obtained independently
Alexandra Carpentier
Teresa Schlueter
49
23
0
04 Jan 2016
Minimax theory of estimation of linear functionals of the deconvolution
  density with or without sparsity
Minimax theory of estimation of linear functionals of the deconvolution density with or without sparsity
Marianna Pensky
120
17
0
06 Nov 2014
Convergence and error propagation results on a linear iterative
  unfolding method
Convergence and error propagation results on a linear iterative unfolding method
A. László
48
2
0
10 Apr 2014
Improved rates for Wasserstein deconvolution with ordinary smooth error
  in dimension one
Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one
J. Dedecker
A. Fischer
Bertrand Michel
91
9
0
02 Apr 2014
Hypothesis testing by convex optimization
Hypothesis testing by convex optimization
A. Goldenshluger
A. Juditsky
A. Nemirovski
106
26
0
26 Nov 2013
Adaptive quantile estimation in deconvolution with unknown error
  distribution
Adaptive quantile estimation in deconvolution with unknown error distribution
I. Dattner
M. Reiß
Mathias Trabs
136
37
0
07 Mar 2013
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