Bayesian data analysis

Andrew Gelman John B. Carlin Hal S. Stern Donald B. Rubin David B. Dunson Aki Vehtari First published 2003

About this book

"Bayesian Data Analysis is a comprehensive treatment of the statistical analysis of data from a Bayesian perspective. Modern computational tools are emphasized, and inferences are typically obtained using computer simulations.".

"The principles of Bayesian analysis are described with an emphasis on practical rather than theoretical issues, and illustrated using actual data. A variety of models are considered, including linear regression, hierarchical (random effects) models, robust models, generalized linear models and mixture models.".

"Two important and unique features of this text are thorough discussions of the methods for checking Bayesian models and the role of the design of data collection in influencing Bayesian statistical analysis." "Issues of data collection, model formulation, computation, model checking and sensitivity analysis are all considered. The student or practising statistician will find that there is guidance on all aspects of Bayesian data analysis."--BOOK JACKET.

Subjects

análise de dados
analysis
bayes-entscheidungstheorie
bayesian statistical decision theory
bayes theorem
bayes-verfahren
besliskunde
data-analyse
datenanalyse
decision theory
general
inferência bayesiana (inferência estatística)
inferência paramétrica
mathematical statistics
mathematics
mathematics & statistics -> mathematics -> probability
methode van bayes
probability & statistics
probability theory
scbe016515
scma605030
scma605050
statistical data interpretation
statistical models
statistics
statistics as topic
statistique bayésienne
statistique mathématique
teoria da decisão (inferência estatística)