97 citations · 234 across the 26 of their papers we have counts for
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stat.CO2012★ 97 cited
Fast MCMC sampling for Markov jump processes and extensions
Vinayak Rao, Yee Whye Teh
Markov jump processes (or continuous-time Markov chains) are a simple and important class of continuous-time dynamical systems. In this paper, we tackle the problem of simulating f…
stat.ME2012
Repulsive Mixtures
Francesca Petralia, Vinayak Rao, David B. Dunson
Discrete mixture models are routinely used for density estimation and clustering. While conducting inferences on the cluster-specific parameters, current frequentist and Bayesian m…
stat.ME2012★ 8 cited
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Vinayak Rao, Yee Whye Teh
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserved…