Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation J van Waaij, H van Zanten arXiv preprint arXiv:1506.00515, 2015 | 38 | 2015 |
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 | 13 | 2018 |
Tensor products in Riesz space theory J van Waaij, OW van Gaans, MFE de Jeu Master’s thesis, Mathematisch Instituut, Universiteit Leiden, Nederland, 2013 | 11 | 2013 |
Recovery, detection and confidence sets of communities in a sparse stochastic block model BJK Kleijn, J van Waaij arXiv preprint arXiv:1810.09533, 2018 | 3 | 2018 |
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 | 2 | 2021 |
Uncertainty quantification in the stochastic block model with an unknown number of classes J van Waaij, BJK Kleijn arXiv preprint arXiv:2005.01362, 2020 | 2 | 2020 |
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 | 2 | 2017 |
Suprema in ruimten van operatoren J van Waaij Universiteit Leiden, Bachelorscriptie, 2011 | 2 | 2011 |
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 | 1 | 2022 |
Uncertainty quantification and testing in a stochastic block model with two unequal communities J van Waaij, BJK Kleijn arXiv preprint arXiv:2105.08478, 2021 | 1 | 2021 |
Adaptive posterior contraction rates for empirical Bayesian drift estimation of a diffusion J van Waaij arXiv preprint arXiv:1909.12710, 2019 | 1 | 2019 |
Adaptive posterior contraction rates for diffusions J van Waaij Universiteit van Amsterdam [Host], 2018 | 1 | 2018 |
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 | | |