14 citations · 27 across the 6 of their papers we have counts for
Showing stat.MEShow all
3 papers · 1 filter
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…
stat.ME2016★ 2 cited
Parallel Computing for Copula Parameter Estimation with Big Data: A Simulation Study
Zheng Wei, Daeyoung Kim, Erin Marie Conlon
Copula-based modeling has seen rapid advances in recent years. However, in big data applications, the lengthy computation time for estimating copula parameters is a major difficult…
stat.ME2015★ 14 cited
Parallel Markov Chain Monte Carlo for Non-Gaussian Posterior Distributions
Alexey Miroshnikov, Erin M. Conlon
Recent developments in big data and analytics research have produced an abundance of large data sets that are too big to be analyzed in their entirety, due to limits on computer me…