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…
math.ST2015★ 2 cited
Multivariate Density Estimation via Adaptive Partitioning (II): Posterior Concentration
Linxi Liu, Wing Hung Wong
In this paper, we study a class of non-parametric density estimators under Bayesian settings. The estimators are piecewise constant functions on binary partitions. We analyze the c…