Bayesian Essentials with R

Bayesian Essentials with R
Author :
Publisher : Springer Science & Business Media
Total Pages : 305
Release :
ISBN-10 : 9781461486879
ISBN-13 : 1461486874
Rating : 4/5 (874 Downloads)

Book Synopsis Bayesian Essentials with R by : Jean-Michel Marin

Download or read book Bayesian Essentials with R written by Jean-Michel Marin and published by Springer Science & Business Media. This book was released on 2013-10-28 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. 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. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels. It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics.


Bayesian Essentials with R Related Books

Bayesian Essentials with R
Language: en
Pages: 305
Authors: Jean-Michel Marin
Categories: Computers
Type: BOOK - Published: 2013-10-28 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
Language: en
Pages: 265
Authors: Jean-Michel Marin
Categories: Computers
Type: BOOK - Published: 2007-02-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This Bayesian modeling book provides the perfect entry for gaining a practical understanding of Bayesian methodology. It focuses on standard statistical models
Bayesian Computation with R
Language: en
Pages: 304
Authors: Jim Albert
Categories: Mathematics
Type: BOOK - Published: 2009-04-20 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity
Applied Bayesian Statistics
Language: en
Pages: 238
Authors: Mary Kathryn Cowles
Categories: Mathematics
Type: BOOK - Published: 2013-01-04 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and di
Bayesian Statistics and Marketing
Language: en
Pages: 368
Authors: Peter E. Rossi
Categories: Mathematics
Type: BOOK - Published: 2012-05-14 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The past decade has seen a dramatic increase in the use of Bayesian methods in marketing due, in part, to computational and modelling breakthroughs, making its