Can I read Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics) on EtoBox?

Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics) by Marin J.-M., Robert C.P. is a nonfiction available to read on EtoBox.

What is Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics) about?

This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. While R programs are provided on the book website and R hints are given in the computational sections of the book, The Bayesian Core requires no knowledge of the R language and it can be read and used with any other programming language. The Bayesian Core can be used as a textbook at both undergraduate and graduate levels, as exemplified by courses given at Université Paris Dauphine (France), University of Canterbury (New Zealand), and University of British Columbia (Canada). It serves as a unique textbook for a

Who reads Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)?

Author

Marin J.-M., Robert C.P.

Publisher

Springer

Published

2007

Language

EN

ISBN

9780387389837

Category

nonfiction

Subjects

Science, Mathematics, Engineering