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时间:2018-02-10
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1、LargeSampleMethodsInordertomakeBayesianinferenceabouttheparameter0^givenamodelf{x6)^oneneedstochooseanappropriatepriordistributionfor6.Giventhedatax,thepriordistributionisusedtofindtheposteriordistributionandvar•iousposteriorsummarymeasures,dependingontheproblem.Thuse
2、xactorapproximatecomputationoftheposteriorisamajorproblemforaBayesian.Undercertainregularityconditions,theposteriorcanbeapproximatedbyanormaldistributionwiththemaximumlikelihoodestimate(MLE)asthemeanandinverseoftheobservedFisherinformationmatrixasthedispersionmatrix,if
3、thesamplesizeislarge.Ifmoreaccuracyisneeded,onemayusetheKass-Kadane-TierneyorEdgeworthtyperefinements.Alternatively,onemaysamplefromtheapproximateposteriorandtakeresorttoimportancesam•pling.Posteriornormalityhasanimportantphilosophicalimplication,whichwediscussbelow.Ho
4、wtheposteriorinferenceisinfluencedbyaparticularpriordependsontherelativemagnitudeoftheamountofinformationinthedata,whichfori.i.d.observationsmaybemeasuredbythesamplesizenornl{6)orobservedFisherinformation7^(definedinSection4.1.2),andtheamountofinforma•tionintheprior,wh
5、ichisdiscussedinChapter5.Asthesamplesizegrows,theinfluenceofthepriordistributiondiminishes.Thusforlargesamples,aprecisemathematicalspecificationofpriordistributionisnotnecessary.Inmostcasesoflow-dimensionalparameterspace,thesituationislikethis.ABayesianwouldrefertoitas
6、washingawayofthepriorbythedata.Thereareseveralmathematicalresultsembodyingthisphenomenonofwhichposteriornormalityisthemostwell-known.Thischapterdealswithposteriornormalityandsomeofitsrefinements.WebeginwithadiscussiononlimitingbehaviorofposteriordistributioninSection4.
7、1.Asketchofproofofasymptoticnormalityofposteriorisgiveninthissection.AmoreaccurateposteriorapproximationbasedonLaplace'sasymptoticmethodanditsrefinementsbyTierney,Kass,andKadanearethesubjectsofSection4.3.Arefinementofposteriornormalityisdiscussed1004LargeSampleMethodsi
8、nSection4.2whereanasymptoticexpansionoftheposteriordistributionwithaleadingnormaltermisoutlined.Throughoutthischapter
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