Tell your friends about this item:
Computational Bayesian Statistics: An Introduction - Institute of Mathematical Statistics Textbooks Amaral Turkman, M. Antonia (Universidade de Lisboa)
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 Hardcover Book (Book with hard spine and cover) |
| Released | February 28, 2019 |
| ISBN13 | 9781108481038 |
| Publishers | Cambridge University Press |
| Pages | 254 |
| Dimensions | 156 × 235 × 17 mm · 480 g |
| Language | English |