27 citations · 30 across the 5 of their papers we have counts for
5 papers
Evaluation of population structure inferred by principal component analysis or the admixture model
Jan van Waaij, Song Li, Genís Garcia-Erill +2
Principal component analysis (PCA) is commonly used in genetics to infer and visualize population structure and admixture between populations. PCA is often interpreted in a way sim…
Estimation of the covariance structure from SNP allele frequencies
Jan van Waaij, Zilong Li, Carsten Wiuf
We propose two new statistics, V and S, to disentangle the population history of related populations from SNP frequency data. If the populations are related by a tree, we show by t…
Asymptotic uncertainty quantification for communities in sparse planted bi-section models
B. J. K. Kleijn, J. van Waaij
Posterior distributions for community structure in sparse planted bi-section models are shown to achieve exact (resp. almost-exact) recovery, with sharp bounds for the sparsity reg…
Full adaptation to smoothness using randomly truncated series priors with Gaussian coefficients and inverse gamma scaling
Jan van Waaij, Harry van Zanten
We study random series priors for estimating a functional parameter (f\in L^2[0,1]). We show that with a series prior with random truncation, Gaussian coefficients, and inverse gam…
Gaussian process methods for one-dimensional diffusions: optimal rates and adaptation
Jan van Waaij, Harry van Zanten
We study the performance of nonparametric Bayes procedures for one-dimensional diffusions with periodic drift. We improve existing convergence rate results for Gaussian process (GP…