Frank Van Der Meulen
TitleCited byYear
Nonparametric inference for LÚvy-driven Ornstein-Uhlenbeck processes
G Jongbloed, FH Van Der Meulen, AW Van Der Vaart
Bernoulli 11 (5), 759-791, 2005
1062005
Operative notes do not reflect reality in laparoscopic cholecystectomy
L Wauben, WMU Grevenstein, RHM Goossens, FH der Meulen, JF Lange
British journal of surgery 98 (10), 1431-1436, 2011
352011
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
332014
Parametric estimation for subordinators and induced OU processes
G Jongbloed, FH Van Der Meulen
Scandinavian Journal of Statistics 33 (4), 825-847, 2006
332006
Consistent nonparametric Bayesian inference for discretely observed scalar diffusions
F Van der Meulen, H Van Zanten
Bernoulli 19 (1), 44-63, 2013
272013
Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals
F van der Meulen, M Schauer
Electronic Journal of Statistics 11 (1), 2358-2396, 2017
222017
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
222006
Guided proposals for simulating multi-dimensional diffusion bridges
M Schauer, F Van Der Meulen, H Van Zanten
Bernoulli 23 (4A), 2917-2950, 2017
202017
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
182006
Nonparametric Bayesian inference for multidimensional compound Poisson processes
S Gugushvili, F van der Meulen, P Spreij
arXiv preprint arXiv:1412.7739, 2014
162014
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
132011
Estimating a concave distribution function from data corrupted with additive noise
G Jongbloed, FH van der Meulen
The Annals of Statistics 37 (2), 782-815, 2009
102009
Asymptotic behavior of the variance of the EWMA statistic for autoregressive processes
MB Vermaat, FH Van der Meulen, R Does
Statistics & Probability Letters 78 (12), 1673-1682, 2008
82008
Bayesian estimation of incompletely observed diffusions
F van der Meulen, M Schauer
Stochastics 90 (5), 641-662, 2018
72018
A non-parametric Bayesian approach to decompounding from high frequency data
S Gugushvili, F van der Meulen, P Spreij
Statistical Inference for Stochastic Processes 21 (1), 53-79, 2018
72018
Nonrepeatable gauge R&R studies assuming temporal or patterned object variation
F Van Der Meulen, H De Koning, J De Mast
Journal of Quality Technology 41 (4), 426-439, 2009
72009
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 (3), 603-628, 2018
52018
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
52018
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, 2015
52015
Nonparametric Bayesian estimation of a H÷lder continuous diffusion coefficient
S Gugushvili, F van der Meulen, M Schauer, P Spreij
Available at SSRN 3093100, 2018
32018
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Articles 1–20