Bayesian Optimization for Materials Science By Daniel Packwood English | PDF | 2017 | 51 Pages | ISBN : 9811067805 | 1.61 MB
This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists. After explaining the basic idea behind Bayesian optimization and some applications to materials science in Chapter 1, the mathematical theory of Bayesian optimization is outlined in Chapter 2.
Bayesian Data Analysis for Animal Scientists: The Basics By Prof. Dr. Agustín Blasco English | PDF | 2017 | 287 Pages | ISBN : 3319542737 | 6.58 MB
In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters. The biologist or the agricultural researcher does not normally have a background in Bayesian statistics, having difficulties in following the technical books introducing Bayesian techniques.