I'm a mathematical statistician working on frequentist and Bayesian methods for population genetics, Stochastic block models and diffusion models. I'm employed as postdoc at the University of Copenhagen.
In the video below I present my work on uncertainty quantification for community detection.
List of publications
J. van Waaij, J.H. van Zanten, Gaussian process methods for one-dimensional diffusions: Optimal rates and adaptation, Electronic Journal of Statistics, 2016, vol. 10. Read online.
J. van Waaij, J.H. van Zanten, Full adaptation to smoothness using randomly truncated series priors with Gaussian coefficients and inverse gamma scaling, Statistics & Probability Letters, 2017, vol 123. Read online (payment wall, sorry) or on arXiv (free).
F. van der Meulen, M. Schauer, J. van Waaij, Adaptive nonparametric drift estimation for diffusion processes using Faber--Schauder expansions, Statistical Inference for Stochastic Processes, 2018, vol. 21, num. 3. Read online.
B.J.K. Kleijn, J. van Waaij, Recovery, detection and conﬁdence sets of communities in a sparse stochastic block model, arXiv, 2018. Read online.
J. van Waaij, Adaptive posterior contraction rates for empirical Bayesian drift estimation of a diffusion, arXiv, 2019. Read online.
J. van Waaij, B.J.K. Kleijn, Uncertainty quantification in the stochastic block model with an unknown number of classes, arXiv, 2020. Read online.