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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"

12 / 12 papers shown
Title
Gaussian process methods for one-dimensional diffusions: optimal rates
  and adaptation
Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation
J. van Waaij
Harry Van Zanten
62
37
0
01 Jun 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
68
14
0
22 Dec 2014
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Frequentist coverage of adaptive nonparametric Bayesian credible sets
Botond Szabó
Van der Vaart
V. Zanten
72
159
0
16 Oct 2013
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
I. Castillo
Richard Nickl
67
130
0
09 Oct 2013
Consistent nonparametric Bayesian inference for discretely observed
  scalar diffusions
Consistent nonparametric Bayesian inference for discretely observed scalar diffusions
Frank van der Meulen
Harry Van Zanten
73
39
0
31 Jan 2013
Bayesian inverse problems with non-conjugate priors
Bayesian inverse problems with non-conjugate priors
Kolyan Ray
102
85
0
27 Sep 2012
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
I. Castillo
Richard Nickl
108
147
0
19 Aug 2012
Non-parametric Bayesian drift estimation for stochastic differential
  equations
Non-parametric Bayesian drift estimation for stochastic differential equations
S. Gugushvili
Peter Spreij
60
22
0
21 Jun 2012
Rates of contraction for posterior distributions in
  $\bolds{L^r}$-metrics, $\bolds{1\le r\le\infty}$
Rates of contraction for posterior distributions in \boldsLr\bolds{L^r}\boldsLr-metrics, \bolds1≤r≤∞\bolds{1\le r\le\infty}\bolds1≤r≤∞
Evarist Giné
Richard Nickl
76
108
0
09 Mar 2012
A Bernstein-type inequality for suprema of random processes with
  applications to model selection in non-Gaussian regression
A Bernstein-type inequality for suprema of random processes with applications to model selection in non-Gaussian regression
Y. Baraud
98
28
0
10 Sep 2009
Rates of contraction of posterior distributions based on Gaussian
  process priors
Rates of contraction of posterior distributions based on Gaussian process priors
Van der Vaart
V. Zanten
173
427
0
18 Jun 2008
Convergence rates of posterior distributions for noniid observations
Convergence rates of posterior distributions for noniid observations
S. Ghosal
A. van der Vaart
275
395
0
03 Aug 2007
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