Niansheng Tang

Yunnan University

Niansheng Tang is a professor of statistics and Dean of the School of Mathematics and Statistics, at Yunnan University, China. He was elected as a Yangtze River Scholars Distinguished Professor in 2013, as a member of the International Statistical Institute in 2016, as a member of the Board of Directors of the International Chinese Statistical Association (ICSA) in 2018, and as a Fellow of the Institute of Mathematical Statistics in 2021. He received the ICSA Outstanding Service Award in 2018 and the National Science Foundation Award for Distinguished Young Scholars of China in 2012. He is a member of the editorial board for Statistics and Its Interface and the Journal of Systems Science and Complexity. He is also a field editor for Communications in Mathematics and Statistics. His research interests include Bayesian statistics, missing data analysis, variable selection, high-dimensional data analysis, data science, and machine learning. He has published more than 200 research papers and authored seven books.

Niansheng Tang

3books edited

3chapters authored

Latest work with IntechOpen by Niansheng Tang

With growing interest in data mining and its merits, including the incorporation of historical or experiential information into statistical analysis, Bayesian inference has become an important tool for analyzing complicated data and solving inverse problems in various fields such as artificial intelligence. This book introduces recent developments in Bayesian inference, and covers a variety of topics including robust Bayesian estimation, solving inverse problems via Bayesian theories, hierarchical Bayesian inference, and its applications for scattering experiments. We hope that this book will stimulate more extensive research on Bayesian fronts to include theories, methods, computational algorithms and applications in various fields such as data science, AI, machine learning, and causality analysis.

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