13 citations · 45 across the 11 of their papers we have counts for
3 papers · 1 filter
Bayesian clustering of multiple zero-inflated outcomes
Beatrice Franzolini, Andrea Cremaschi, Willem van den Boom +1
Several applications involving counts present a large proportion of zeros (excess-of-zeros data). A popular model for such data is the Hurdle model, which explicitly models the pro…
On a wider class of prior distributions for graphical models
Abhinav Natarajan, Willem van den Boom, Kristoforus Bryant Odang +1
Gaussian graphical models are useful tools for conditional independence structure inference of multivariate random variables. Unfortunately, Bayesian inference of latent graph stru…
Bayesian Learning of Graph Substructures
Willem van den Boom, Maria De Iorio, Alexandros Beskos
Graphical models provide a powerful methodology for learning the conditional independence structure in multivariate data. Inference is often focused on estimating individual edges…