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Library,Documentation and Information Science Division

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Prior Processes and Their Applications (Record no. 426853)

000 -LEADER
fixed length control field 04362nam a22005175i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number 9783319327891
-- 978-3-319-32789-1
024 7# -
-- 10.1007/978-3-319-32789-1
-- doi
040 ## -
-- ISI Library, Kolkata
050 #4 -
-- QA276-280
072 #7 -
-- PBT
-- bicssc
072 #7 -
-- MAT029000
-- bisacsh
072 #7 -
-- PBT
-- thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Phadia, Eswar G.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Prior Processes and Their Applications
Medium [electronic resource] :
Remainder of title Nonparametric Bayesian Estimation /
Statement of responsibility, etc by Eswar G. Phadia.
250 ## - EDITIONSTATEMENT
Edition statement 2nd ed. 2016.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
-- author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture 2016.
300 ## -
-- XVII, 327 p. 1 illus. in color.
-- online resource.
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
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- Springer Series in Statistics,
-- 0172-7397
505 0# -
-- Prior Processes -- Inference Based on Complete Data -- Inference Based on Incomplete Data. .
520 ## -
-- This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition has been substantially expanded to reflect the current interest in this area. After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants including hierarchical processes, then addresses new processes such as dependent Dirichlet, local Dirichlet, time-varying and spatial processes, all of which exploit the countable mixture representation of the Dirichlet process. It subsequently discusses various neutral to right type processes, including gamma and extended gamma, beta and beta-Stacy processes, and then describes the Chinese Restaurant, Indian Buffet and infinite gamma-Poisson processes, which prove to be very useful in areas such as machine learning, information retrieval and featural modeling. Tailfree and Polya tree and their extensions form a separate chapter, while the last two chapters present the Bayesian solutions to certain estimation problems pertaining to the distribution function and its functional based on complete data as well as right censored data. Because of the conjugacy property of some of these processes, most solutions are presented in closed form. However, the current interest in modeling and treating large-scale and complex data also poses a problem – the posterior distribution, which is essential to Bayesian analysis, is invariably not in a closed form, making it necessary to resort to simulation. Accordingly, the book also introduces several computational procedures, such as the Gibbs sampler, Blocked Gibbs sampler and slice sampling, highlighting essential steps of algorithms while discussing specific models. In addition, it features crucial steps of proofs and derivations, explains the relationships between different processes and provides further clarifications to promote a deeper understanding. Lastly, it includes a comprehensive list of references, equipping readers to explore further on their own. .
650 #0 -
-- Mathematical statistics.
650 #0 -
-- Statistics.
650 14 -
-- Statistical Theory and Methods.
-- http://scigraph.springernature.com/things/product-market-codes/S11001
650 24 -
-- Statistics for Life Sciences, Medicine, Health Sciences.
-- http://scigraph.springernature.com/things/product-market-codes/S17030
650 24 -
-- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
-- http://scigraph.springernature.com/things/product-market-codes/S17020
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9783319327884
776 08 -
-- Printed edition:
-- 9783319327907
776 08 -
-- Printed edition:
-- 9783319813707
830 #0 -
-- Springer Series in Statistics,
-- 0172-7397
856 40 -
-- https://doi.org/10.1007/978-3-319-32789-1
912 ## -
-- ZDB-2-SMA
950 ## -
-- Mathematics and Statistics (Springer-11649)
Holdings
Location (home branch) Sublocation or collection (holding branch) Date acquired Piece designation (barcode) Koha item type
ISI Library, Kolkata ISI Library, Kolkata 2017-04-01 EB1807 E-BOOKS
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in


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