Bayesian Essentials with R

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software, General Computing
Cover of the book Bayesian Essentials with R by Christian P. Robert, Jean-Michel Marin, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Christian P. Robert, Jean-Michel Marin ISBN: 9781461486879
Publisher: Springer New York Publication: October 28, 2013
Imprint: Springer Language: English
Author: Christian P. Robert, Jean-Michel Marin
ISBN: 9781461486879
Publisher: Springer New York
Publication: October 28, 2013
Imprint: Springer
Language: English

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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. 

More books from Springer New York

Cover of the book Regression Modeling Strategies by Christian P. Robert, Jean-Michel Marin
Cover of the book Activation and Detoxification Enzymes by Christian P. Robert, Jean-Michel Marin
Cover of the book Ontogeny and Phylogeny of the Vertebrate Heart by Christian P. Robert, Jean-Michel Marin
Cover of the book Retinal and Choroidal Manifestations of Selected Systemic Diseases by Christian P. Robert, Jean-Michel Marin
Cover of the book Cholesterol and Presynaptic Glutamate Transport in the Brain by Christian P. Robert, Jean-Michel Marin
Cover of the book The Economics of Sustainable Development by Christian P. Robert, Jean-Michel Marin
Cover of the book Essentials of Percutaneous Dialysis Interventions by Christian P. Robert, Jean-Michel Marin
Cover of the book Taxation, Growth and Fiscal Institutions by Christian P. Robert, Jean-Michel Marin
Cover of the book Conservation of Tropical Plant Species by Christian P. Robert, Jean-Michel Marin
Cover of the book Techniques for Nanoencapsulation of Food Ingredients by Christian P. Robert, Jean-Michel Marin
Cover of the book UTLEON3: Exploring Fine-Grain Multi-Threading in FPGAs by Christian P. Robert, Jean-Michel Marin
Cover of the book The Middle Ear by Christian P. Robert, Jean-Michel Marin
Cover of the book Taking Nature Into Account by Christian P. Robert, Jean-Michel Marin
Cover of the book Equilibrium in the Balance by Christian P. Robert, Jean-Michel Marin
Cover of the book Walter Gautschi, Volume 3 by Christian P. Robert, Jean-Michel Marin
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy