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Jan van Waaij
Jan van Waaij
Department of Health Technology, Section for Bioinformatics, Danish University of Technology
Verified email at dtu.dk - Homepage
Title
Cited by
Cited by
Year
Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation
J van Waaij, H van Zanten
arXiv preprint arXiv:1506.00515, 2015
362015
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
Tensor products in Riesz space theory
J van Waaij, OW van Gaans, MFE de Jeu
Master’s thesis, Mathematisch Instituut, Universiteit Leiden, Nederland, 2013
112013
Recovery, detection and confidence sets of communities in a sparse stochastic block model
BJK Kleijn, J van Waaij
arXiv preprint arXiv:1810.09533, 2018
32018
Confidence sets in a sparse stochastic block model with two communities of unknown sizes
BJK Kleijn, J van Waaij
arXiv preprint arXiv:2108.07078, 2021
22021
Uncertainty quantification in the stochastic block model with an unknown number of classes
J van Waaij, BJK Kleijn
arXiv preprint arXiv:2005.01362, 2020
22020
Full adaptation to smoothness using randomly truncated series priors with Gaussian coefficients and inverse gamma scaling
J van Waaij, H van Zanten
Statistics & Probability Letters 123, 93-99, 2017
22017
Suprema in ruimten van operatoren
J van Waaij
Universiteit Leiden, Bachelorscriptie, 2011
22011
Estimation of the covariance structure from SNP allele frequencies
J van Waaij, Z Li, C Wiuf
Statistical Applications in Genetics and Molecular Biology 21 (1), 20220005, 2022
12022
Uncertainty quantification and testing in a stochastic block model with two unequal communities
J van Waaij, BJK Kleijn
arXiv preprint arXiv:2105.08478, 2021
12021
Adaptive posterior contraction rates for empirical Bayesian drift estimation of a diffusion
J van Waaij
arXiv preprint arXiv:1909.12710, 2019
12019
Adaptive posterior contraction rates for diffusions
J van Waaij
Universiteit van Amsterdam [Host], 2018
12018
Asymptotic uncertainty quantification for communities in sparse planted bi-section models
BJK Kleijn, J van Waaij
Journal of Statistical Planning and Inference 227, 112-128, 2023
2023
Evaluation of population structure inferred by principal component analysis or the admixture model
J van Waaij, S Li, G Garcia-Erill, A Albrechtsen, C Wiuf
Genetics 225 (2), iyad157, 2023
2023
Evaluation of population structure inferred by principal component analysis or the admixture model
C Wiuf, A Albrechtsen, G Garcia-Erill, S Li, J van Waaij
bioRxiv, 2023.06. 06.543934, 2023
2023
Necessary and sufficient conditions for identifiability in the admixture model
J van Waaij
arXiv preprint arXiv:2202.05540, 2022
2022
Tensor products in Riesz space theory as quotients of free spaces
J van Waaij
2013
OPTIMAL RATES AND ADAPTATION FOR BAYESIAN METHODS OF DIFFUSION PROCESSES
J van Waaij, M Schauer, F van der Meulen, H van Zanten
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Articles 1–18