Bayesian Time Series Models / (Record no. 37816)
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000 -LEADER | |
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fixed length control field | 02289nam a22003377a 4500 |
001 - CONTROL NUMBER | |
control field | sulb-eb0016378 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | BD-SySUS |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20160405135335.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 101018s2011||||enk o ||1 0|eng|d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780511984679 (ebook) |
Canceled/invalid ISBN | 9780521196765 (hardback) |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | UkCbUP |
Language of cataloging | eng |
Description conventions | rda |
Transcribing agency | UkCbUP |
Modifying agency | BD-SySUS |
050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA280 |
Item number | .B39 2011 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.5/5 |
Edition number | 22 |
245 00 - TITLE STATEMENT | |
Title | Bayesian Time Series Models / |
Statement of responsibility, etc. | edited by David Barber, A. Taylan Cemgil, Silvia Chiappa. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Cambridge : |
Name of producer, publisher, distributor, manufacturer | Cambridge University Press, |
Date of production, publication, distribution, manufacture, or copyright notice | 2011. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (432 pages) : |
Other physical details | digital, PDF file(s). |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
500 ## - GENERAL NOTE | |
General note | Title from publisher's bibliographic system (viewed on 04 Apr 2016). |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical models, the book covers approximation schemes, both Monte Carlo and deterministic, and introduces switching, multi-object, non-parametric and agent-based models in a variety of application environments. It demonstrates that the basic framework supports the rapid creation of models tailored to specific applications and gives insight into the computational complexity of their implementation. The authors span traditional disciplines such as statistics and engineering and the more recently established areas of machine learning and pattern recognition. Readers with a basic understanding of applied probability, but no experience with time series analysis, are guided from fundamental concepts to the state-of-the-art in research and practice. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Time-series analysis |
Topical term or geographic name as entry element | Bayesian statistical decision theory |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Barber, David, |
Relator term | editor. |
Personal name | Cemgil, A. Taylan, |
Relator term | editor. |
Personal name | Chiappa, Silvia, |
Relator term | editor. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Print version: |
International Standard Book Number | 9780521196765 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="http://dx.doi.org/10.1017/CBO9780511984679">http://dx.doi.org/10.1017/CBO9780511984679</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Koha item type |
No items available.