Bayesian nonparametrics / (Record no. 104017)

MARC details
000 -LEADER
fixed length control field 01808cam a2200229 a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 090911s2010 enka b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521513463
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0521513464
040 ## - CATALOGING SOURCE
Original cataloging agency SDU
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA278.8
Item number B357 2010
245 00 - TITLE STATEMENT
Title Bayesian nonparametrics /
Statement of responsibility, etc. edited by Nils Lid Hjort ... [et al.].
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge, UK ;
-- New York :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2010.
300 ## - PHYSICAL DESCRIPTION
Extent 299 p. :
Other physical details ill.
490 1# - SERIES STATEMENT
Series Statement Cambridge series in statistical and probabilistic mathematics ;
Volume/sequential designation 28
505 ## - Formatted Contents Note
Formatted contents note HKBU Library
520 ## - SUMMARY
Summary "Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book is the perfect guide to what can seem a forbidding landscape. Tutorial chapters by Ghosal, Lijoi and Prünster, Teh and Jordan, and Dunson advance from theory, to basic models and hierarchical modeling, to applications and implementation, particularly in computer science and biostatistics. These are complemented by companion chapters by the editors and Griffin and Quintana, providing additional models, examining computational issues, identifying future growth areas, and giving links to related topics. This coherent text gives ready access both to underlying principles and to state-of-the-art practice. Specific examples are drawn from information retrieval, NLP, machine vision, computational biology, biostatistics, and bioinformatics"--Provided by publisher.
650 #0 - SUBJECT
Topical term Nonparametric statistics.
650 #0 - SUBJECT
Topical term Bayesian statistical decision theory.
700 1# - PERSONAL NAME
Personal name Hjort, Nils Lid.
900 ## - Accession Number
Accession Number = C.1 SDU
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type English Books
Source of classification or shelving scheme Library of Congress Classification
650 #0 - SUBJECT
-- 114573
700 1# - PERSONAL NAME
-- 193290
Holdings
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 Source of acquisition Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification   Available for Loans General Books MATRIX Library MATRIX Library General Eng/FL.3 07/10/2025 Donation   QA278.8 B357 2010 1000385016 07/10/2025 C.1 07/10/2025 English Books
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