2 citations · 2 across the 3 of their papers we have counts for
4 papers
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…
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…
Co-compact entropy and its variational principle for non-compact spaces
Zheng Wei, Yangeng Wang, Guo Wei +2
The purpose of this paper is to generalize the variational principle, which states that the topological entropy is equal to the supremum of the measure theoretical entropies and al…
The entropy of co-compact open covers
Zheng Wei, Yangeng Wang, Guo Wei
Co-compact entropy is introduced as an invariant of topological conjugation for perfect mappings defined on any Hausdorff space(compactness and metrizability not necessarily requir…