Computational Bayesian statistics : (Record no. 65602)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01617nam a22001817a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200611b2019 ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781108703741 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.542 TUR-M |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Turkman, Maria Antónia Amaral |
| 245 ## - TITLE STATEMENT | |
| Title | Computational Bayesian statistics : |
| Remainder of title | an introduction / |
| Statement of responsibility, etc. | Maria Antónia Amaral Turkman, Carlos Daniel Paulino and Peter Müller |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | United Kingdom |
| Name of publisher, distributor, etc. | Cambridge University Press |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 243 p. |
| 365 ## - TRADE PRICE | |
| Price type code | GBP |
| Price amount | 29.99. |
| 500 ## - GENERAL NOTE | |
| General note | 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Bayesian statistical decision theory |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Paulino, Carlos Daniel |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Müller, Peter |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | 510 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 11/06/2020 | 29.99 | 1 | 519.542 TUR-M | 41207 | 13/07/2024 | 21/08/2023 | 11/06/2020 | Books |