Institute of Mathematical Statistics Textbooks (Paperback)
 
作者: Maria Ant鏮ia Amaral Turkman 
分類: Data analysis: general ,
Economic statistics ,
Probability & statistics ,
Machine learning  
書城編號: 1472184


售價: $448.00

購買後立即進貨, 約需 18-25 天

 
 
出版社: Cambridge University Press
出版日期: 2019/01/31
尺寸: 210x150x22mm
重量: 381 grams
ISBN: 9781108703741

商品簡介
Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian models. The inclusion of problems makes the book suitable as a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics.
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