Ebook Info
- Published: 2019
- Number of pages: 254 pages
- Format: PDF
- File Size: 3.30 MB
- Authors: M. Antónia Amaral Turkman
Description
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.
User’s Reviews
Reviews from Amazon users which were colected at the time this book was published on the website:
⭐Excelent book.
⭐
⭐
⭐
⭐
⭐
Keywords
Free Download Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks Book 11) 1st Edition in PDF format
Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks Book 11) 1st Edition PDF Free Download
Download Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks Book 11) 1st Edition 2019 PDF Free
Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks Book 11) 1st Edition 2019 PDF Free Download
Download Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks Book 11) 1st Edition PDF
Free Download Ebook Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks Book 11) 1st Edition