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On deconvolution with repeated measurements

On deconvolution with repeated measurements

4 April 2008
A. Delaigle
P. Hall
A. Meister
ArXiv (abs)PDFHTML

Papers citing "On deconvolution with repeated measurements"

28 / 28 papers shown
Distributionally-Robust Optimization with Noisy Data for Discrete
  Uncertainties Using Total Variation Distance
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation DistanceIEEE Control Systems Letters (L-CSS), 2023
F. Farokhi
244
18
0
15 Feb 2023
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
198
0
0
08 Jan 2023
Nonparametric Estimation of the Continuous Treatment Effect with
  Measurement Error
Nonparametric Estimation of the Continuous Treatment Effect with Measurement Error
Wei Huang
Zheng Zhang
206
7
0
09 Nov 2022
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed
  Bandits
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits
Yifei Wang
Tavor Z. Baharav
Yanjun Han
Jiantao Jiao
David Tse
205
2
0
01 Nov 2022
Joint self-supervised blind denoising and noise estimation
Joint self-supervised blind denoising and noise estimation
J. Ollion
Charles Ollion
Elisabeth Gassiat
Luc Lehéricy
Sylvain Le Corff
187
9
0
16 Feb 2021
A Particle Method for Solving Fredholm Equations of the First Kind
A Particle Method for Solving Fredholm Equations of the First Kind
F. R. Crucinio
Arnaud Doucet
A. M. Johansen
197
5
0
21 Sep 2020
Simultaneous inference for Berkson errors-in-variables regression under
  fixed design
Simultaneous inference for Berkson errors-in-variables regression under fixed designAnnals of the Institute of Statistical Mathematics (AISM), 2020
K. Proksch
N. Bissantz
H. Holzmann
317
0
0
02 Sep 2020
Deconvoluting Kernel Density Estimation and Regression for Locally
  Differentially Private Data
Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private DataScientific Reports (Sci Rep), 2020
F. Farokhi
159
10
0
28 Aug 2020
Deconvolution with unknown noise distribution is possible for
  multivariate signals
Deconvolution with unknown noise distribution is possible for multivariate signals
Elisabeth Gassiat
Sylvain Le Corff
Luc Lehéricy
213
12
0
25 Jun 2020
Identifiability and consistent estimation of nonparametric translation
  hidden Markov models with general state space
Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space
Elisabeth Gassiat
Sylvain Le Corff
Luc Lehéricy
365
11
0
04 Feb 2019
Deconvolution with Unknown Error Distribution Interpreted as Blind
  Isotonic Regression
Deconvolution with Unknown Error Distribution Interpreted as Blind Isotonic Regression
Devavrat Shah
Dogyoon Song
247
0
0
09 Mar 2018
An adaptive procedure for Fourier estimators: illustration to
  deconvolution and decompounding
An adaptive procedure for Fourier estimators: illustration to deconvolution and decompounding
Céline Duval
Johanna Kappus
181
3
0
14 Feb 2018
A frequency domain analysis of the error distribution from noisy
  high-frequency data
A frequency domain analysis of the error distribution from noisy high-frequency data
Jinyuan Chang
A. Delaigle
P. Hall
C. Tang
103
7
0
20 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
216
11
0
30 Oct 2017
Uniform confidence bands for nonparametric errors-in-variables
  regression
Uniform confidence bands for nonparametric errors-in-variables regressionJournal of Econometrics (JE), 2017
Kengo Kato
Yuya Sasaki
484
22
0
11 Feb 2017
Uniform confidence bands in deconvolution with unknown error
  distribution
Uniform confidence bands in deconvolution with unknown error distribution
Kengo Kato
Yuya Sasaki
443
38
0
07 Aug 2016
Nonparametric adaptive estimation for grouped data
Nonparametric adaptive estimation for grouped data
Céline Duval
Johanna Kappus
107
6
0
03 Jun 2016
Density deconvolution from repeated measurements without symmetry
  assumption on the errors
Density deconvolution from repeated measurements without symmetry assumption on the errorsJournal of Multivariate Analysis (JMA), 2014
Johanna Kappus
Fabienne Comte
159
23
0
13 Jul 2014
Noisy classification with boundary assumptions
Noisy classification with boundary assumptions
S. Loustau
C. Marteau
156
0
0
12 Jul 2013
Adaptive Noisy Clustering
Adaptive Noisy ClusteringIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
M. Chichignoud
S. Loustau
202
10
0
10 Jun 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
407
40
0
07 Mar 2013
Laplace deconvolution and its application to Dynamic Contrast Enhanced
  imaging
Laplace deconvolution and its application to Dynamic Contrast Enhanced imaging
Fabienne Comte
Charles-André Cuénod
Marianna Pensky
Y. Rozenholc
MedIm
232
12
0
10 Jul 2012
Minimax fast rates for discriminant analysis with errors in variables
Minimax fast rates for discriminant analysis with errors in variables
S. Loustau
C. Marteau
136
17
0
16 Jan 2012
Laplace deconvolution with noisy observations
Laplace deconvolution with noisy observations
F. Abramovich
Marianna Pensky
Y. Rozenholc
275
17
0
14 Jul 2011
Möbius deconvolution on the hyperbolic plane with application to
  impedance density estimation
Möbius deconvolution on the hyperbolic plane with application to impedance density estimation
S. Huckemann
P. Kim
J. Koo
Axel Munk
358
41
0
20 Oct 2010
Kernel methods and minimum contrast estimators for empirical
  deconvolution
Kernel methods and minimum contrast estimators for empirical deconvolution
A. Delaigle
P. Hall
209
2
0
01 Mar 2010
Density estimation with heteroscedastic error
Density estimation with heteroscedastic error
A. Delaigle
A. Meister
217
87
0
15 May 2008
Deconvolution for an atomic distribution
Deconvolution for an atomic distribution
B. Es
S. Gugushvili
Peter Spreij
514
20
0
21 Sep 2007
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