Doing Bayesian Data Analysis

Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.

Produk Detail:

  • Author : John K. Kruschke
  • Publisher : Academic Press
  • Pages : 759 pages
  • ISBN : 9780124058880
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKDoing Bayesian Data Analysis

Doing Bayesian Data Analysis

Doing Bayesian Data Analysis
  • Author : John K. Kruschke
  • Publisher : Academic Press
  • Release : 03 November 2014
GET THIS BOOKDoing Bayesian Data Analysis

Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.

Doing Bayesian Data Analysis

Doing Bayesian Data Analysis
  • Author : John Kruschke
  • Publisher : Academic Press
  • Release : 25 November 2010
GET THIS BOOKDoing Bayesian Data Analysis

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It assumes only algebra and ‘rusty’ calculus. Unlike other textbooks, this book begins with the basics, including essential

Bayesian Data Analysis, Third Edition

Bayesian Data Analysis, Third Edition
  • Author : Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin
  • Publisher : CRC Press
  • Release : 01 November 2013
GET THIS BOOKBayesian Data Analysis, Third Edition

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the

Doing Bayesian Data Analysis

Doing Bayesian Data Analysis
  • Author : John Kruschke
  • Publisher : Academic Press
  • Release : 11 November 2014
GET THIS BOOKDoing Bayesian Data Analysis

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular,

Bayesian Analysis with Python

Bayesian Analysis with Python
  • Author : Osvaldo Martin
  • Publisher : Packt Publishing Ltd
  • Release : 25 November 2016
GET THIS BOOKBayesian Analysis with Python

Unleash the power and flexibility of the Bayesian framework About This Book Simplify the Bayes process for solving complex statistical problems using Python; Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises; Learn how and when to use Bayesian analysis in your applications with this guide. Who This Book Is For Students, researchers and data scientists who wish to learn Bayesian data analysis with Python and implement

Bayesian Statistics for Beginners

Bayesian Statistics for Beginners
  • Author : Therese M. Donovan,Ruth M. Mickey
  • Publisher : Oxford University Press, USA
  • Release : 08 December 2021
GET THIS BOOKBayesian Statistics for Beginners

This is an entry-level book on Bayesian statistics written in a casual, and conversational tone. The authors walk a reader through many sample problems step-by-step to provide those with little background in math or statistics with the vocabulary, notation, and understanding of the calculations used in many Bayesian problems.

Bayesian Data Analysis, Second Edition

Bayesian Data Analysis, Second Edition
  • Author : Andrew Gelman,John B. Carlin,Hal S. Stern,Donald B. Rubin
  • Publisher : CRC Press
  • Release : 29 July 2003
GET THIS BOOKBayesian Data Analysis, Second Edition

Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include: Stronger focus on MCMC Revision of the computational

Bayesian Logical Data Analysis for the Physical Sciences

Bayesian Logical Data Analysis for the Physical Sciences
  • Author : Phil Gregory
  • Publisher : Cambridge University Press
  • Release : 14 April 2005
GET THIS BOOKBayesian Logical Data Analysis for the Physical Sciences

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear

Statistical Rethinking

Statistical Rethinking
  • Author : Richard McElreath
  • Publisher : CRC Press
  • Release : 03 January 2018
GET THIS BOOKStatistical Rethinking

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on

Bayesian Ideas and Data Analysis

Bayesian Ideas and Data Analysis
  • Author : Ronald Christensen,Wesley Johnson,Adam Branscum,Timothy E Hanson
  • Publisher : CRC Press
  • Release : 07 July 2011
GET THIS BOOKBayesian Ideas and Data Analysis

Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. The first five chapters of the book contain core material

A Student’s Guide to Bayesian Statistics

A Student’s Guide to Bayesian Statistics
  • Author : Ben Lambert
  • Publisher : SAGE
  • Release : 20 April 2018
GET THIS BOOKA Student’s Guide to Bayesian Statistics

Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and

Doing Bayesian Data Analysis

Doing Bayesian Data Analysis
  • Author : John K. Kruschke
  • Publisher : Elsevier
  • Release : 08 December 2021
GET THIS BOOKDoing Bayesian Data Analysis

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. The text delivers

Data Analysis

Data Analysis
  • Author : Devinderjit Sivia,John Skilling
  • Publisher : OUP Oxford
  • Release : 02 June 2006
GET THIS BOOKData Analysis

One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. - Katie St. Clair MAA Reviews.

Bayesian Statistics the Fun Way

Bayesian Statistics the Fun Way
  • Author : Will Kurt
  • Publisher : No Starch Press
  • Release : 16 July 2019
GET THIS BOOKBayesian Statistics the Fun Way

Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples. Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that. This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how

Bayesian Methods for Hackers

Bayesian Methods for Hackers
  • Author : Cameron Davidson-Pilon
  • Publisher : Addison-Wesley Professional
  • Release : 30 September 2015
GET THIS BOOKBayesian Methods for Hackers

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming