Bai Jiang

Simultaneous dimension reduction and adjustment for confounding variation

Zhixiang Lin, Can Yang, Ying Zhu et al. · Proceedings of the National Academy of Sciences · 2016 · 55 citations · Full text

Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy

Bai Jiang · International Conference on Artificial Intelligence and Statistics · 2018 · 33 citations

Bayesian Statistic, Uncertainty Quantification, Statistical Inference +3

Hoeffding's lemma for Markov Chains and its applications to statistical learning

Jianqing Fan, Bai Jiang, Qiang Sun · arXiv (Cornell University) · 2018 · 23 citations · Full text

Spectral Theory, Statistical Learning, Engineering +19

Bernstein's inequalities for general Markov chains

Bai Jiang, Qiang Sun, Jianqing Fan · arXiv (Cornell University) · 2018 · 19 citations · Full text

Engineering, Stochastic Optimization, Entropy +14

Adaptive Huber regression on Markov-dependent data

Jianqing Fan, Yongyi Guo, Bai Jiang · Stochastic Processes and their Applications · 2019 · 18 citations · Full text

Engineering, Data Science, Hidden Markov Model +5