Название: Bayesian Hierarchical Models: With Applications Using R, 2nd Edition Автор: Peter D. Congdon
Издательство: Chapman and Hall/CRC
Год: 2019
Страниц: 593
Язык: английский
Формат: pdf (true)
Размер: 15.4 MB
An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options.
