activity
20122024
most citedReversible jump MCMC for nonparametric drift estimation for diffusion processes

36 citations · 57 across the 5 of their papers we have counts for

collaborators

5 papers

math.PR2024

On a class of exponential changes of measure for stochastic PDEs

Thorben Pieper-Sethmacher, Frank van der Meulen, Aad van der Vaart

Given a mild solution to a semilinear stochastic partial differential equation (SPDE), we consider an exponential change of measure based on its infinitesimal generator , de…

math.ST2019

Bayesian nonparametric estimation in the current status continuous mark model

Geurt Jongbloed, Frank van der Meulen, Lixue Pang

In this paper we consider the current status continuous mark model where, if the event takes place before an inspection time a "continuous mark" variable is observed as well. A…

math.ST2019

Nonparametric Bayesian estimation of a concave distribution function with mixed interval censored data

Geurt Jongbloed, Frank van der Meulen, Lixue Pang

Assume we observe a finite number of inspection times together with information on whether a specific event has occurred before each of these times. Suppose replicated measurements…

stat.CO2017★ 21 cited

Continuous-discrete smoothing of diffusions

Marcin Mider, Moritz Schauer, Frank van der Meulen

Suppose X is a multivariate diffusion process that is observed discretely in time. At each observation time, a transformation of the state of the process is observed with noise. Th…

stat.CO2012★ 36 cited

Reversible jump MCMC for nonparametric drift estimation for diffusion processes

Frank van der Meulen, Moritz Schauer, Harry van Zanten

In the context of nonparametric Bayesian estimation a Markov chain Monte Carlo algorithm is devised and implemented to sample from the posterior distribution of the drift function…