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Nonparametric Bayesian posterior contraction rates for discretely
  observed scalar diffusions

Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions

19 October 2015
Richard Nickl
Jakob Sohl
ArXivPDFHTML

Papers citing "Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions"

16 / 16 papers shown
Title
Statistical Spatially Inhomogeneous Diffusion Inference
Statistical Spatially Inhomogeneous Diffusion Inference
Yinuo Ren
Yiping Lu
Lexing Ying
Grant M. Rotskoff
22
2
0
10 Dec 2023
Consistent inference for diffusions from low frequency measurements
Consistent inference for diffusions from low frequency measurements
Richard Nickl
33
5
0
24 Oct 2022
Parametric estimation of stochastic differential equations via online
  gradient descent
Parametric estimation of stochastic differential equations via online gradient descent
Shogo H. Nakakita
26
3
0
17 Oct 2022
Wasserstein convergence in Bayesian deconvolution models
Wasserstein convergence in Bayesian deconvolution models
Judith Rousseau
Catia Scricciolo
21
2
0
12 Nov 2021
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
Convergence of Likelihood Ratios and Estimators for Selection in
  non-neutral Wright-Fisher Diffusions
Convergence of Likelihood Ratios and Estimators for Selection in non-neutral Wright-Fisher Diffusions
Jaromir Sant
Paul A. Jenkins
Jere Koskela
Dario Spanó
19
3
0
10 Jan 2020
Bernstein-von Mises theorems and uncertainty quantification for linear
  inverse problems
Bernstein-von Mises theorems and uncertainty quantification for linear inverse problems
M. Giordano
Hanne Kekkonen
77
20
0
09 Nov 2018
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
25
52
0
03 Oct 2018
Convergence rates for Penalised Least Squares Estimators in
  PDE-constrained regression problems
Convergence rates for Penalised Least Squares Estimators in PDE-constrained regression problems
Richard Nickl
Sara van de Geer
Sven Wang
15
59
0
24 Sep 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
19
8
0
30 Apr 2018
Nonparametric Bayesian volatility estimation
Nonparametric Bayesian volatility estimation
S. Gugushvili
Frank van der Meulen
Moritz Schauer
Peter Spreij
16
6
0
30 Jan 2018
Bayesian inverse problems with unknown operators
Bayesian inverse problems with unknown operators
Mathias Trabs
29
12
0
30 Jan 2018
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
31
36
0
22 Sep 2017
Efficient Nonparametric Bayesian Inference For X-Ray Transforms
Efficient Nonparametric Bayesian Inference For X-Ray Transforms
F. Monard
Richard Nickl
G. Paternain
16
57
0
21 Aug 2017
Spectral estimation for diffusions with random sampling times
Spectral estimation for diffusions with random sampling times
Jakub Chorowski
Mathias Trabs
18
11
0
02 Mar 2015
Adaptive confidence bands for Markov chains and diffusions: Estimating
  the invariant measure and the drift
Adaptive confidence bands for Markov chains and diffusions: Estimating the invariant measure and the drift
Jakob Sohl
Mathias Trabs
33
14
0
22 Dec 2014
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