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Information bounds for inverse problems with application to
  deconvolution and Lévy models

Information bounds for inverse problems with application to deconvolution and Lévy models

24 July 2013
Mathias Trabs
ArXivPDFHTML

Papers citing "Information bounds for inverse problems with application to deconvolution and Lévy models"

5 / 5 papers shown
Title
Decompounding discrete distributions: A non-parametric Bayesian approach
Decompounding discrete distributions: A non-parametric Bayesian approach
S. Gugushvili
Ester Mariucci
Frank van der Meulen
24
4
0
26 Mar 2019
Bernstein -- von Mises theorems for statistical inverse problems II:
  Compound Poisson processes
Bernstein -- von Mises theorems for statistical inverse problems II: Compound Poisson processes
Richard Nickl
Jakob Sohl
16
36
0
22 Sep 2017
Efficient nonparametric inference for discretely observed compound
  Poisson processes
Efficient nonparametric inference for discretely observed compound Poisson processes
Alberto J. Coca
28
21
0
28 Dec 2015
Quantile estimation for Lévy measures
Quantile estimation for Lévy measures
Mathias Trabs
35
14
0
27 May 2014
A uniform central limit theorem and efficiency for deconvolution
  estimators
A uniform central limit theorem and efficiency for deconvolution estimators
Jakob Sohl
Mathias Trabs
61
27
0
03 Aug 2012
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