14 citations · 27 across the 6 of their papers we have counts for
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stat.ME2017
Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages
Zheng Wei, Erin M. Conlon
Due to the escalating growth of big data sets in recent years, new Bayesian Markov chain Monte Carlo (MCMC) parallel computing methods have been developed. These methods partition…
math.ST2017
Asymptotic properties and approximation of Bayesian logspline density estimators for communication-free parallel computing methods
Konstandinos Kotsiopoulos, Alexey Miroshnikov, Erin Conlon
In this article we perform an asymptotic analysis of parallel Bayesian logspline density estimators. Such estimators are useful for the analysis of datasets that are partitioned in…