Bayesian nonparametric mixtures and random partition models are powerful...
A collaborative filtering recommender system predicts user preferences b...
We argue for the use of separate exchangeability as a modeling principle...
The purpose of a phase I dose-finding clinical trial is to investigate t...
Gaussian graphical models are popular tools for studying the dependence
...
We propose a randomized greedy search algorithm to find a point estimate...
Standard regression approaches assume that some finite number of the res...
In many applied fields incomplete covariate vectors are commonly encount...
We present a consensus Monte Carlo algorithm that scales existing Bayesi...
We propose a categorical matrix factorization method to infer latent dis...