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 **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

Posted by **alt_f4** at Aug. 20, 2016

English | Dec. 4, 2003 | ISBN: 0387953647 | 515 Pages | PDF | 3 MB

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data.

Posted by **Underaglassmoon** at July 29, 2016

Springer | Mathematics | August 28, 2016 | ISBN-10: 3319404113 | 356 pages | pdf | 11.34 mb

Editors: Chowell, Gerardo, Hyman, James M. (Eds.)

Demonstrates examples of how models can help understand the spread of infections

Presents a discussion on the modern statistical modeling methods to design, conduct, and analyze clinical trials measuring the effectiveness of potential vaccines

Posted by **naag** at Oct. 10, 2015

MP4 | Video: 1280x720 | 56 kbps | 48 KHz | Duration: 3 Hours | 531 MB

Learn how to use machine learning algorithms and statistical modeling for clustering, decision trees, etc by using R

Posted by **Nice_smile)** at Sept. 21, 2015

English | Oct. 12, 2007 | ISBN: 0387718869 | 276 Pages | PDF | 4.03 MB

Statistical modeling is a critical tool in scientific research.