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Bernstein -- von Mises theorems for statistical inverse problems II:
  Compound Poisson processes

Bernstein -- von Mises theorems for statistical inverse problems II: Compound Poisson processes

22 September 2017
Richard Nickl
Jakob Sohl
ArXivPDFHTML

Papers citing "Bernstein -- von Mises theorems for statistical inverse problems II: Compound Poisson processes"

4 / 4 papers shown
Title
On log-concave approximations of high-dimensional posterior measures and
  stability properties in non-linear inverse problems
On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems
Jan Bohr
Richard Nickl
13
17
0
17 May 2021
Nonparametric statistical inference for drift vector fields of
  multi-dimensional diffusions
Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions
Richard Nickl
Kolyan Ray
17
50
0
03 Oct 2018
Nonparametric Bayesian inference for Gamma-type Lévy subordinators
Nonparametric Bayesian inference for Gamma-type Lévy subordinators
Denis Belomestny
S. Gugushvili
Moritz Schauer
Peter Spreij
14
8
0
30 Apr 2018
Bayesian inverse problems with unknown operators
Bayesian inverse problems with unknown operators
Mathias Trabs
21
12
0
30 Jan 2018
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