1k citations · 5.3k across the 132 of their papers we have counts for
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Interoperability of statistical models in pandemic preparedness: principles and reality
George Nicholson, Marta Blangiardo, Mark Briers +12
We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving p…
Non-exchangeable random partition models for microclustering
Giuseppe Di Benedetto, François Caron, Yee Whye Teh
Many popular random partition models, such as the Chinese restaurant process and its two-parameter extension, fall in the class of exchangeable random partitions, and have found wi…
Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics
Julyan Arbel, Stefano Favaro, Bernardo Nipoti +1
Given a sample of size from a population of individuals belonging to different species with unknown proportions, a popular problem of practical interest consists in making infe…
Rediscovery of Good-Turing estimators via Bayesian nonparametrics
Stefano Favaro, Bernardo Nipoti, Yee Whye Teh
The problem of estimating discovery probabilities originated in the context of statistical ecology, and in recent years it has become popular due to its frequent appearance in chal…
MCMC for Normalized Random Measure Mixture Models
Stefano Favaro, Yee Whye Teh
This paper concerns the use of Markov chain Monte Carlo methods for posterior sampling in Bayesian nonparametric mixture models with normalized random measure priors. Making use of…
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…