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Computational Bayesian Statistics: An Introduction - Institute of Mathematical Statistics Textbooks Amaral Turkman, M. Antonia (Universidade de Lisboa)
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Computational Bayesian Statistics: An Introduction - Institute of Mathematical Statistics Textbooks
Amaral Turkman, M. Antonia (Universidade de Lisboa)
This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user's guide for researchers and graduate students from beyond statistics.
254 pages, Worked examples or Exercises; 12 Line drawings, unspecified
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | February 28, 2019 |
| ISBN13 | 9781108703741 |
| Publishers | Cambridge University Press |
| Pages | 254 |
| Dimensions | 153 × 227 × 15 mm · 372 g |
| Language | English |
