Bayesian Essentials with R
08.02.2019 38 0 Free ebook

Bayesian Essentials with R

Computers & Technology / Science & Math
ISBN: 1461486866 Format: PDF Edition: 2nd ed. 2014 edition Date: October 29, 2013 Pages: 296 pages 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. 


Bayesian Essentials with R

Download .PDF eBook
В закладки

Dear users and students. The Book Bayesian Essentials with R on our website it is presented for demonstration only. We do not store the files, If you like the book, please remove it and to buy a printed version of the book.

If You feel that this book is belong to you and you want to unpublish it, Please Contact us.

This site comply with DMCA digital copyright. We do not store files not owned by us, or without the permission of the owner. We also do not have links that lead to sites DMCA copyright infringement.



Comments (0)
ADD COMMENTS
Прокомментировать
reload, if the code cannot be seen
Using R for Statistics
Pattern Recognition and Machine Learning
Machine Learning in Production
Design of Logic-based Intelligent Systems
Data Analysis with R
Building Probabilistic Graphical Models with Python
Bioinformatics with R Cookbook
Beginning R