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Frank van der Meulen
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Year
Nonparametric inference for LÚvy-driven Ornstein-Uhlenbeck processes
G Jongbloed, FH Van Der Meulen, AW Van Der Vaart
Bernoulli 11 (5), 759-791, 2005
1212005
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
722011
Guided proposals for simulating multi-dimensional diffusion bridges
M Schauer, F Van Der Meulen, H Van Zanten
652017
Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals
F van der Meulen, M Schauer
602017
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
442014
Consistent nonparametric Bayesian inference for discretely observed scalar diffusions
F Van der Meulen, H Van Zanten
382013
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
352016
Parametric estimation for subordinators and induced OU processes
G Jongbloed, FH Van Der Meulen
Scandinavian Journal of Statistics 33 (4), 825-847, 2006
352006
Continuous-discrete smoothing of diffusions
M Mider, M Schauer, F Van der Meulen
Electronic Journal of Statistics 15 (2), 4295-4342, 2021
29*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
272006
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
262011
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
262006
Bayesian estimation of incompletely observed diffusions
F van der Meulen, M Schauer
Stochastics 90 (5), 641-662, 2018
232018
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
182015
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
172021
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
172020
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
162018
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
15*2022
Automatic backward filtering forward guiding for Markov processes and graphical models
F Van der Meulen, M Schauer
arXiv preprint arXiv:2010.03509, 2020
132020
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
132018
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