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A non-parametric Bayesian approach to decompounding from high frequency
  data
v1v2v3 (latest)

A non-parametric Bayesian approach to decompounding from high frequency data

12 July 2015
S. Gugushvili
Frank van der Meulen
Peter Spreij
ArXiv (abs)PDFHTML

Papers citing "A non-parametric Bayesian approach to decompounding from high frequency data"

6 / 6 papers shown
Gibbs posterior inference on a Levy density under discrete sampling
Gibbs posterior inference on a Levy density under discrete sampling
Zhe Wang
Ryan Martin
220
4
0
14 Sep 2021
Decompounding discrete distributions: A non-parametric Bayesian approach
Decompounding discrete distributions: A non-parametric Bayesian approach
S. Gugushvili
Ester Mariucci
Frank van der Meulen
361
5
0
26 Mar 2019
Nonparametric Bayesian inference for Gamma-type Lévy subordinators
Nonparametric Bayesian inference for Gamma-type Lévy subordinators
Denis Belomestny
S. Gugushvili
Moritz Schauer
Peter Spreij
301
10
0
30 Apr 2018
Adaptive nonparametric estimation for compound Poisson processes robust
  to the discrete-observation scheme
Adaptive nonparametric estimation for compound Poisson processes robust to the discrete-observation scheme
Alberto J. Coca
238
8
0
27 Mar 2018
An Inverse Problem for Infinitely Divisible Moving Average Random Fields
An Inverse Problem for Infinitely Divisible Moving Average Random Fields
Wolfgang Karcher
Stefan Roth
E. Spodarev
Corinna Walk
305
5
0
26 May 2017
Efficient nonparametric inference for discretely observed compound
  Poisson processes
Efficient nonparametric inference for discretely observed compound Poisson processes
Alberto J. Coca
597
21
0
28 Dec 2015
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