Bayesian Survival

Bayesian Survival Analysis (Springer Series in Statistics) by Joseph G. Ibrahim

Bayesian Survival Analysis (Springer Series in Statistics) by Joseph G. Ibrahim
English | 2001 | ISBN: 0387952772 | 494 Pages | DJVU | 22 MB

Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed…

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference  eBooks & eLearning

Posted by Grev27 at March 30, 2018
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference by Cameron Davidson-Pilon
English | 2 Oct. 2015 | ISBN: 0133902838 | 250 Pages | PDF (True) | 19.4 MB
"System and Bayesian Reliability" ed. by  Yu Hayakawa, Telba Irony, Min Xie (Repost)

"System and Bayesian Reliability: Essays in Honor of Professor Richard E. Barlow on his 70th Birthday" ed. by Yu Hayakawa, Telba Irony, Min Xie
Series on Quality, Reliability, and Engineering Statistics, Volume 5
World Scientific Publishing | 2001 | ISBN: 9810248652 9789810248659 9789812799548 | 438 pages | PDF | 15 MB

This volume is a collection of articles on system and Bayesian reliability analysis. The book is dedicated to Emeritus Professor Richard E. Barlow, who is well known for his pioneering research on reliability theory and Bayesian reliability analysis.

Bayesian Data Analysis for Animal Scientists: The Basics  eBooks & eLearning

Posted by Jeembo at May 21, 2018
Bayesian Data Analysis for Animal Scientists: The Basics

Bayesian Data Analysis for Animal Scientists: The Basics by Agustín Blasco
English | 2017 | ISBN: 3319542737 | 275 Pages | PDF | 13.0 MB

In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters.

Mathematical Theory of Bayesian Statistics  eBooks & eLearning

Posted by arundhati at May 10, 2018
Mathematical Theory of Bayesian Statistics

Sumio Watanabe, "Mathematical Theory of Bayesian Statistics"
2018 | ISBN-10: 1482238063 | 330 pages | PDF | 6 MB

"New Insights into Bayesian Inference" ed. by Mohammad Saber Fallah Nezhad  eBooks & eLearning

Posted by exLib at May 2, 2018
"New Insights into Bayesian Inference" ed. by Mohammad Saber Fallah Nezhad

"New Insights into Bayesian Inference" ed. by Mohammad Saber Fallah Nezhad
ITExLi | 2018 | ISBN: 1789230934 9781789230932 1789230926 9781789230925 | 131 pages | PDF | 11 MB

This book is an introduction to the mathematical analysis of Bayesian decision-making when the state of the problem is unknown but further data about it can be obtained.

Contemporary Bayesian Econometrics and Statistics (Repost)  eBooks & eLearning

Posted by DZ123 at Feb. 4, 2018
Contemporary Bayesian Econometrics and Statistics (Repost)

John Geweke, "Contemporary Bayesian Econometrics and Statistics"
English | 2005 | ISBN: 0471679321 | PDF | pages: 323 | 3.0 mb
Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS

Kris Bogaerts, "Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS"
English | ISBN: 1420077473 | 2018 | 616 pages | PDF | 10 MB

Bayesian Analysis with Python  eBooks & eLearning

Posted by Grev27 at Jan. 21, 2018
Bayesian Analysis with Python

Osvaldo Martin, "Bayesian Analysis with Python"
English | ISBN: 1785883801 | 2016 | EPUB/MOBI+Code files | 282 pages | 43 MB

Bayesian Essentials with R (Springer Texts in Statistics)  eBooks & eLearning

Posted by hill0 at Jan. 19, 2018
Bayesian Essentials with R (Springer Texts in Statistics)

Bayesian Essentials with R (Springer Texts in Statistics) by Jean-Michel Marin
English | 29 Oct. 2013 | ISBN: 1461486866 | 312 Pages | EPUB | 5.34 MB

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