68 citations · 199 across the 14 of their papers we have counts for
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stat.ME2015★ 68 cited
Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network
Bai Jiang, Tung-yu Wu, Charles Zheng +1
Approximate Bayesian Computation (ABC) methods are used to approximate posterior distributions in models with unknown or computationally intractable likelihoods. Both the accuracy…
stat.ME2011★ 48 cited
From EM to Data Augmentation: The Emergence of MCMC Bayesian Computation in the 1980s
Martin A. Tanner, Wing H. Wong
It was known from Metropolis et al. [J. Chem. Phys. 21 (1953) 1087--1092] that one can sample from a distribution by performing Monte Carlo simulation from a Markov chain whose equ…
stat.ME2010★ 7 cited
Coupling optional Pólya trees and the two sample problem
Li Ma, Wing H. Wong
Testing and characterizing the difference between two data samples is of fundamental interest in statistics. Existing methods such as Kolmogorov-Smirnov and Cramer-von-Mises tests…