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1、AdvancedMarkovChainMonteCarloMethodsLearningfromPastSamplesFamingLiangDepartmentofStatistics,TexasA&MUniversityChuanhaiLiuDepartmentofStatistics,PurdueUniversityRaymondJ.CarrollDepartmentofStatistics,TexasA&MUniversityAJohnWileyandSons,Ltd.,PublicationAdvancedMarkovChainMonteCarloM
2、ethodsWileySeriesinComputationalStatisticsConsultingEditors:PaoloGiudiciUniversityofPavia,ItalyGeofH.GivensColoradoStateUniversity,USABaniK.MallickTexasA&MUniversity,USAWileySeriesinComputationalStatisticsiscomprisedofpracticalguidesandcuttingedgeresearchbooksonnewdevelopmentsincom
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6、orPatternRecognitionLiang,LiuandCarroll-AdvancedMarcovChainMonteCarloMethodsNtzoufras-BayesianModelingUsingWinBUGSAdvancedMarkovChainMonteCarloMethodsLearningfromPastSamplesFamingLiangDepartmentofStatistics,TexasA&MUniversityChuanhaiLiuDepartmentofStatistics,PurdueUniversityRaymond
7、J.CarrollDepartmentofStatistics,TexasA&MUniversityAJohnWileyandSons,Ltd.,PublicationThiseditionfirstpublished2010c2010JohnWileyandSonsLtdRegisteredofficeJohnWiley&SonsLtd,TheAtrium,SouthernGate,Chichester,WestSussex,PO198SQ,UnitedKingdomFordetailsofourglobaleditorialoffices,forcustomer
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