Texts in Statistical Science(共72册),这套丛书还有 《Statistical Rethinking (2/e)》《Statistical Analysis of Reliability Data》《Practical Time Series Analysis for Data Science》《Data Driven Statistical Methods》《Bayesian Statistical Methods》等。 喜欢读"Bayesian Data Analysis (3/e)"的人也喜欢 ·...
Texts in Statistical Science(共72册),这套丛书还有 《Applied Stochastic Modelling》《Randomization and Monte Carlo Method (Chapman & Hall Texts in Statistical Science)》《Stochastic Processes with R》《Applied Statistics》《Modern Data Science with R (2/e)》等。 喜欢读"Bayesian Data Analysis, Secon...
Bayesian Data Analysis. Third EditionA GelmanJ CarlinH SternD RubinNow 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. continues to take an ...
taken from various disciplines. This third edition provides two new chapters on Bayesian nonparametrics and covers computation systems BUGS and R. It also offers enhanced computing advice. The book's website includes solutions to the problems, data sets, software advice, and other ancillary material...
This book provides a good introduction to Bayesian approaches to applied statistical modelling. It consists of 15 chapters and 3 appendices, which cover both basic and advanced material. The book is written emphasising the use of WinBUGS and R to analyse real data sets from mainly medical and ...
This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Readership Table of contents Product details ...
Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians. The article reviews the book "Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians," by R. Christensen, W. Johnson, A. Bransc... Jensen,Willis,A. - 《Journal of Quality Technology...
Explore book Introduction John K.Kruschke, inDoing Bayesian Data Analysis (Second Edition), 2015 2.3.1Data analysis without parametric models? As outlined above,Bayesiandata analysis is based on meaningfully parameterizeddescriptive models. Are there ever situations in which such models cannot be used ...
This book provides a multi-level introduction to Bayesian reasoning (as opposed to “conventional statistics”) and its applications to data analysis. The basic ideas of this “new” approach to the quantification of uncertainty are presented using examples from research and everyday life. Application...
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 ...