Bayes Inference R

Learning Bayesian Models with R  eBooks & eLearning

Posted by readerXXI at April 10, 2017
Learning Bayesian Models with R

Learning Bayesian Models with R
by Dr. Hari M. Koduvely
English | 2015 | ISBN: 178398760X | 165 Pages | True PDF | 1.48 MB

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems.

Introductory Statistical Inference (Repost)  eBooks & eLearning

Posted by nebulae at Dec. 14, 2016
Introductory Statistical Inference (Repost)

Nitis Mukhopadhyay, "Introductory Statistical Inference"
English | ISBN: 1574446134 | 2006 | 304 pages | PDF | 4 MB

Learning Bayesian Models with R (Repost)  eBooks & eLearning

Posted by enmoys at May 26, 2016
Learning Bayesian Models with R (Repost)

Learning Bayesian Models with R By Dr. Hari M. Koduvely
2015 | 168 Pages | ISBN: 178398760X | EPUB | 3 MB

Examples in Parametric Inference with R  eBooks & eLearning

Posted by Underaglassmoon at May 24, 2016
Examples in Parametric Inference with R

Examples in Parametric Inference with R
Springer | Statistical Theory and Methods | June 21, 2016 | ISBN-10: 9811008884 | 529 pages | pdf | 3.97 mb

Authors: Dixit, Ulhas Jayram
Exclusively focuses on statistical inference
Presents sophisticated mathematical proofs in a simple and easy-to-follow language
Discusses fundamental topics common to many fields of statistical inference, and which offer a point of departure for in-depth study

Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory  eBooks & eLearning

Posted by DZ123 at Nov. 2, 2015
Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory

John Earman, "Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory"
English | 1992 | ISBN: 0262050463 | DJVU | pages: 287 | 1,9 mb

Learning Bayesian Models with R  eBooks & eLearning

Posted by AlenMiler at Oct. 30, 2015
Learning Bayesian Models with R

Learning Bayesian Models with R by Dr. Hari M. Koduvely
English | 28 Oct. 2015 | ISBN: 178398760X | 168 Pages | AZW3 (Kindle)/HTML/EPUB/PDF (conv) | 19 MB

This book is for statisticians, analysts, and data scientists who want to build a Bayes-based system with R and implement it in their day-to-day models and projects. It is mainly intended for Data Scientists and Software Engineers who are involved in the development of Advanced Analytics applications.

Probability and Statistical Inference (2nd Edition)  eBooks & eLearning

Posted by arundhati at Jan. 13, 2015
Probability and Statistical Inference (2nd Edition)

Robert Bartoszynski, Magdalena Niewiadomska-Bugaj, "Probability and Statistical Inference (2nd Edition)"
2008 | ISBN-10: 0471696935 | 664 pages | PDF | 26 MB

Applied Statistical Inference: Likelihood and Bayes  eBooks & eLearning

Posted by AlenMiler at Aug. 19, 2014
Applied Statistical Inference: Likelihood and Bayes

Applied Statistical Inference: Likelihood and Bayes by
November 25, 2013 | ISBN: 3642378862 | Pages: 376 | PDF | 8 MB

This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint. Properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic are discussed in detail. In the second part, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. Modern numerical techniques for Bayesian inference are described in a separate chapter. Finally two more advanced topics, model choice and prediction, are discussed both from a frequentist and a Bayesian perspective.

A comprehensive appendix covers the necessary prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis.

Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction (Repost)  eBooks & eLearning

Posted by Specialselection at Feb. 15, 2014
Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction (Repost)

Bradley Efron, "Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction"
English | 2010-09-20 | ISBN: 0521192498 | 276 pages | PDF | 3.6 mb

Statistical Application Development with R and Python - Second Edition  eBooks & eLearning

Posted by AlenMiler at Sept. 17, 2017
Statistical Application Development with R and Python - Second Edition

Statistical Application Development with R and Python - Second Edition by Prabhanjan Narayanachar Tattar
English | 31 Aug. 2017 | ISBN: 1788621190 | ASIN: B0759XD981 | 432 Pages | AZW3 | 20.93 MB