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Forventes på lager: 28-02-2019
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.
| Forlag | Cambridge University Press |
| Forfattere | M. Antonia (Universidade de Lisboa) Amaral Turkman, Carlos Daniel (Universidade de Lisboa) Paulino, Peter (University of Texas Muller |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 28-02-2019 |
| Første udgivelsesår | 2019 |
| Serie | Institute of Mathematical Statistics Textbooks |
| Illustrationer | Worked examples or Exercises; 12 Line drawings, unspecified |
| Originalsprog | United Kingdom |
| Sideantal | 254 |
| Indbinding | Hardback |
| Forlag | Cambridge University Press |
| Sideoplysninger | 254 pages, Worked examples or Exercises; 12 Line drawings, unspecified |
| Mål | 235 x 156 x 17 |
| ISBN-13 / EAN-13 | 9781108481038 |