6 citations · 10 across the 5 of their papers we have counts for
5 papers · 1 filter
Necessary and sufficient conditions for identifiability in the admixture model
Jan van Waaij
We consider M SNP data from N individuals who are an admixture of K unknown ancient populations. Let be the frequency of the reference allele of individual i at SNP s. So…
Confidence sets in a sparse stochastic block model with two communities of unknown sizes
B. J. K. Kleijn, J. van Waaij
In a sparse stochastic block model with two communities of unequal sizes we derive two posterior concentration inequalities, that imply (1) posterior (almost-)exact recovery of the…
Uncertainty quantification and testing in a stochastic block model with two unequal communities
J. van Waaij, B. J. K. Kleijn
We show posterior convergence for the community structure in the planted bi-section model, for several interesting priors. Examples include where the label on each vertex is iid Be…
Uncertainty quantification in the stochastic block model with an unknown number of classes
J. van Waaij, B. J. K. Kleijn
We study the frequentist properties of Bayesian statistical inference for the stochastic block model, with an unknown number of classes of varying sizes. We equip the space of vert…
Adaptive nonparametric drift estimation for diffusion processes using Faber-Schauder expansions
Frank van der Meulen, Moritz Schauer, Jan van Waaij
We consider the problem of nonparametric estimation of the drift of a continuously observed one-dimensional diffusion with periodic drift. Motivated by computational considerations…