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Adaptive quantile estimation in deconvolution with unknown error
  distribution
v1v2v3v4v5 (latest)

Adaptive quantile estimation in deconvolution with unknown error distribution

7 March 2013
I. Dattner
M. Reiß
Mathias Trabs
ArXiv (abs)PDFHTML

Papers citing "Adaptive quantile estimation in deconvolution with unknown error distribution"

14 / 14 papers shown
Title
Density estimation and regression analysis on S^d in the presence of
  measurement error
Density estimation and regression analysis on S^d in the presence of measurement error
Jeong Min Jeon
Ingrid Van Keilegom
43
0
0
08 Jan 2023
Wasserstein convergence in Bayesian deconvolution models
Wasserstein convergence in Bayesian deconvolution models
Judith Rousseau
Catia Scricciolo
48
2
0
12 Nov 2021
Dispersal density estimation across scales
Dispersal density estimation across scales
M. Hoffmann
Mathias Trabs
53
1
0
11 Aug 2021
A Lepskiĭ-type stopping rule for the covariance estimation of
  multi-dimensional Lévy processes
A Lepskiĭ-type stopping rule for the covariance estimation of multi-dimensional Lévy processes
Katerina Papagiannouli
13
0
0
25 Nov 2020
Unlinked monotone regression
Unlinked monotone regression
F. Balabdaoui
Charles R. Doss
C. Durot
65
11
0
02 Jul 2020
Deconvolution with Unknown Error Distribution Interpreted as Blind
  Isotonic Regression
Deconvolution with Unknown Error Distribution Interpreted as Blind Isotonic Regression
Devavrat Shah
Dogyoon Song
21
0
0
09 Mar 2018
Bayesian inverse problems with unknown operators
Bayesian inverse problems with unknown operators
Mathias Trabs
57
12
0
30 Jan 2018
Sparse covariance matrix estimation in high-dimensional deconvolution
Sparse covariance matrix estimation in high-dimensional deconvolution
Denis Belomestny
Mathias Trabs
Alexandre B. Tsybakov
65
10
0
30 Oct 2017
Uniform confidence bands in deconvolution with unknown error
  distribution
Uniform confidence bands in deconvolution with unknown error distribution
Kengo Kato
Yuya Sasaki
72
5
0
07 Aug 2016
Low-rank diffusion matrix estimation for high-dimensional time-changed
  Lévy processes
Low-rank diffusion matrix estimation for high-dimensional time-changed Lévy processes
Denis Belomestny
Mathias Trabs
67
12
0
15 Oct 2015
Adaptation to lowest density regions with application to support
  recovery
Adaptation to lowest density regions with application to support recovery
Tim Patschkowski
Angelika Rohde
125
17
0
18 Aug 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
37
2
0
10 Apr 2014
Bandwidth selection in kernel empirical risk minimization via the
  gradient
Bandwidth selection in kernel empirical risk minimization via the gradient
M. Chichignoud
S. Loustau
66
1
0
27 Jan 2014
Adaptive Noisy Clustering
Adaptive Noisy Clustering
M. Chichignoud
S. Loustau
47
10
0
10 Jun 2013
1