Frank van der Meulen
Cited by
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Nonparametric inference for LÚvy-driven Ornstein-Uhlenbeck processes
G Jongbloed, FH Van Der Meulen, AW Van Der Vaart
Bernoulli 11 (5), 759-791, 2005
Operative notes do not reflect reality in laparoscopic cholecystectomy
L Wauben, WMU Van Grevenstein, RHM Goossens, FH Van Der Meulen, ...
Journal of British Surgery 98 (10), 1431-1436, 2011
Guided proposals for simulating multi-dimensional diffusion bridges
M Schauer, F Van Der Meulen, H Van Zanten
Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals
F van der Meulen, M Schauer
Reversible jump MCMC for nonparametric drift estimation for diffusion processes
F van der Meulen, M Schauer, H van Zanten
Computational Statistics & Data Analysis 71, 615-632, 2014
Consistent nonparametric Bayesian inference for discretely observed scalar diffusions
F Van der Meulen, H Van Zanten
Estimating the age of Risso’s dolphins ( Grampus griseus ) based on skin appearance
KL Hartman, A Wittich, JJ Cai, FH Van Der Meulen, JMN Azevedo
Journal of Mammalogy 97 (2), 490-502, 2016
Parametric estimation for subordinators and induced OU processes
G Jongbloed, FH Van Der Meulen
Scandinavian Journal of Statistics 33 (4), 825-847, 2006
Continuous-discrete smoothing of diffusions
M Mider, M Schauer, F Van der Meulen
Electronic Journal of Statistics 15 (2), 4295-4342, 2021
Convergence rates of posterior distributions for Brownian semimartingale models
FH Van der Meulen, AW Van Der Vaart, JH Van Zanten
Bernoulli 12 (5), 863-888, 2006
Case study: An application of logistic regression in a six sigma project in health care
F van der Meulen, T Vermaat, P Willems
Quality engineering 23 (2), 113-124, 2011
Performance assessment and improvement of control charts for statistical batch process monitoring
HJ Ramaker, ENM Van Sprang, JA Westerhuis, SP Gurden, AK Smilde, ...
Statistica Neerlandica 60 (3), 339-360, 2006
Bayesian estimation of incompletely observed diffusions
F van der Meulen, M Schauer
Stochastics 90 (5), 641-662, 2018
Nonparametric Bayesian inference for multidimensional compound Poisson processes
S Gugushvili, F Van der Meulen, P Spreij
Modern Stochastics: Theory and Applications 2 (1), 1-15, 2015
A piecewise deterministic Monte Carlo method for diffusion bridges
J Bierkens, S Grazzi, F van der Meulen, M Schauer
Statistics and Computing 31 (3), 37, 2021
Simulation of elliptic and hypo-elliptic conditional diffusions
J Bierkens, F Van Der Meulen, M Schauer
Advances in Applied Probability 52 (1), 173-212, 2020
Fast and scalable non-parametric Bayesian inference for Poisson point processes
S Gugushvili, F Van Der Meulen, M Schauer, P Spreij
arXiv preprint arXiv:1804.03616, 2018
Diffusion bridges for stochastic Hamiltonian systems and shape evolutions
A Arnaudon, F van der Meulen, M Schauer, S Sommer
SIAM Journal on Imaging Sciences 15 (1), 293-323, 2022
Automatic backward filtering forward guiding for Markov processes and graphical models
F Van der Meulen, M Schauer
arXiv preprint arXiv:2010.03509, 2020
Adaptive nonparametric drift estimation for diffusion processes using Faber–Schauder expansions
F van der Meulen, M Schauer, J van Waaij
Statistical Inference for Stochastic Processes 21, 603-628, 2018
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