Journal Article

Approximate Bayesian Computation via Classification
Approximate Bayesian Computation (ABC) enables statistical inference in simulator-based models whose likelihoods are difficult to …
Yuexi Wang, Tetsuya Kaji, Veronika Rockova
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Data Augmentation for Bayesian Deep Learning
Deep Learning (DL) methods have emerged as one of the most powerful tools for functional approximation and prediction. While the …
Yuexi Wang, Nicholas G Polson, Vadim Sokolov
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Variable Selection with ABC Bayesian Forests
Few problems in statistics are as perplexing as variable selection in the presence of very many redundant covariates. The variable …
Yi Liu, Veronika Rockova, Yuexi Wang
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