"Bayesian Inference: Recent Advantages" ed. by Niansheng Tang
"Bayesian Inference: Recent Advantages" ed. by Niansheng Tang
ITexLi | 2022 | ISBN: 1803560452 9781803560458 1803560444 9781803560441 1803560460 9781803560465 | 109 pages | PDF | 8 MB
ITexLi | 2022 | ISBN: 1803560452 9781803560458 1803560444 9781803560441 1803560460 9781803560465 | 109 pages | PDF | 8 MB
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. The 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.
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.
Contents
1. Development of Bayesian Inference
2. Bayesian Inference for Inverse Problems
3. Robust Bayesian Estimation
4. Applications of Hierarchical Bayesian Methods to Answer Multilayer Questions with Limited Data
5. Bayesian Inference as a Tool to Optimize Spectral Acquisition in Scattering Experiments
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