Posted by **libr** at June 2, 2017

English | 2010 | ISBN-10: 1439836140 | 300 pages | PDF | 6 MB

Posted by **BUGSY** at May 21, 2015

English | May 27, 2010 | ISBN: 1439836140 | 300 Pages | PDF | 5 MB

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples…

Posted by **interes** at May 30, 2014

English | 2010 | ISBN-10: 1439836140 | 300 pages | PDF | 6 MB

Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation.

Posted by **arundhati** at July 17, 2013

2010 | ISBN-10: 1439836140 | 300 pages | PDF | 6 MB

Posted by **readerXXI** at Feb. 23, 2018

Techniques for Big Data and Statistical Modeling

English | 2018 | ISBN: 1138232904 | 180 Pages | PDF | 6.34 MB

Posted by **tika12** at Dec. 9, 2007

Springer; 1 edition (October 12, 2007) | ISBN: 0387718869 | 276 pages | PDF | 3,7 Mb

Posted by **roxul** at May 31, 2017

English | ISBN: 0754637158 | 2006 | 380 pages | PDF | 11 MB

Posted by **AvaxGenius** at May 9, 2017

English | PDF | 2008 | 374 Pages | ISBN : 0817646256 | 7.3 MB

Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications.

Posted by **Jeembo** at March 6, 2017

English | 2008 | ISBN: 0521852250 | 332 Pages | PDF | 5.0 MB

Choosing a model is central to all statistical work with data. We have seen rapid advances in model fitting and in the theoretical understanding of model selection, yet this book is the first to synthesize research and practice from this active field.

Posted by **fdts** at Nov. 29, 2016

by Norm Matloff

English | 2009 | ISBN: 1616100362 | 274 pages | PDF | 8.48 MB