LEADER 03042nam  2200565 a 450 
001 9910437867703321
005 20200520144314.0
010   $a3-642-39280-6
024 7 $a10.1007/978-3-642-39280-1
035   $a(CKB)2670000000533804
035   $a(EBL)1398826
035   $a(OCoLC)858764240
035   $a(SSID)ssj0000963066
035   $a(PQKBManifestationID)11544103
035   $a(PQKBTitleCode)TC0000963066
035   $a(PQKBWorkID)10975783
035   $a(PQKB)11639525
035   $a(DE-He213)978-3-642-39280-1
035   $a(MiAaPQ)EBC1398826
035   $a(PPN)172428009
035   $a(EXLCZ)992670000000533804
100   $a20130716d2013      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aPrior processes and their applications $enonparametric bayesian estimation /$fEswar G. Phadia
205   $a1st ed. 2013.
210   $aNew York $cSpringer$d2013
215   $a1 online resource (219 p.)
300   $aDescription based upon print version of record.
311   $a3-642-39279-2 
311   $a3-642-42931-9 
320   $aIncludes bibliographical references and indexes.
327   $aPrior Processes -- Inference Based on Complete Data -- Inference Based on Incomplete Data.
330   $aThis book presents a systematic and comprehensive treatment of various prior processes that have been developed over the last four decades in order to deal with the Bayesian approach to solving some nonparametric inference problems. Applications of these priors in various estimation problems are presented. Starting with the famous Dirichlet process and its variants, the first part describes processes neutral to the right, gamma and extended gamma, beta and beta-Stacy, tail free and Polya tree, one and two parameter Poisson-Dirichlet, the Chinese Restaurant and Indian Buffet processes, etc., and discusses their interconnection. In addition, several new processes that have appeared in the literature in recent years and which are off-shoots of the Dirichlet process are described briefly. The second part contains the Bayesian solutions to certain estimation problems pertaining to the distribution function and its functional based on complete data. Because of the conjugacy property of some of these processes, the resulting solutions are mostly in closed form. The third part treats similar problems but based on right censored data. Other applications are also included. A comprehensive list of references is provided in order to help readers explore further on their own.
606   $aNonparametric statistics
606   $aBayesian statistical decision theory
615  0$aNonparametric statistics.
615  0$aBayesian statistical decision theory.
676   $a519.5
700   $aPhadia$b Eswar G$0756045
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437867703321
996   $aPrior processes and their applications$91523579
997   $aUNINA