内容简介
Ahands-onintroductiontocomputationalstatisticsfromaBayesianpointofviewProvidingasolidgroundinginstatisticswhileuniquelycoveringthetopicsfromaBayesianperspective,UnderstandingComputationalBayesianStatisticssuccessfullyguidesreadersthroughthisnew,cutting-edgeapproach.Withitshands-ontreatmentofthetopic,thebookshowshowsamplescanbedrawnfromtheposteriordistributionwhentheformulagivingitsshapeisallthatisknown,andhowBayesianinferencescanbebasedonthesesamplesfromtheposterior.Theseideasareillustratedoncommonstatisticalmodels,includingthemultiplelinearregressionmodel,thehierarchicalmeanmodel,thelogisticregressionmodel,andtheproportionalhazardsmodel.ThebookbeginswithanoutlineofthesimilaritiesanddifferencesbetweenBayesianandthelikelihoodapproachestostatistics.SubsequentchapterspresentkeytechniquesforusingcomputersoftwaretodrawMonteCarlosamplesfromtheincompletelyknownposteriordistributionandperformingtheBayesianinferencecalculatedfromthesesamples.Topicsofcoverageinclude:•Directwaystodrawarandomsamplefromtheposteriorbyreshapingarandomsampledrawnfromaneasilysampledstartingdistribution•Thedistributionsfromtheone-dimensionalexponentialfamily•Markovchainsandtheirlong-runbehavior•TheMetropolis-Hastingsalgorithm•Gibbssamplingalgorithmandmethodsforspeedingupconvergence•MarkovchainMonteCarlosamplingUsingnumerousgraphsanddiagrams,theauthoremphasizesastep-by-stepapproachtocomputationalBayesianstatistics.Ateachstep,importantaspectsofapplicationaredetailed,suchashowtochooseapriorforlogisticregressionmodel,thePoissonregressionmodel,andtheproportionalhazardsmodel.ArelatedWebsitehousesRfunctionsandMinitab®macrosforBayesiananalysisandMonteCarlosimulations,anddetailedappendicesinthebookguidereadersthroughtheuseofthesesoftwarepackages.UnderstandingComputationalBayesianStatisticsisanexcellentbookforcoursesoncomputationalstatisticsattheupper-levelundergraduateandgraduatelevels.Itisalsoavaluablereferenceforresearchersandpractitionerswhousecomputerprogramstoconductstatisticalanalysesofdataandsolveproblemsintheireverydaywork.
作者简介
WilliamM.Bolstad,PhD,isSeniorLecturerintheDepartmentofStatisticsatTheUniversityofWaikato(NewZealand).Dr.Bolstad'sresearchinterestsincludeBayesianstatistics,MCMCmethods,recursiveestimationtechniques,multiprocessdynamictimeseriesmodels,andforecasting.HeistheauthorofIntroductiontoBayesianStatistics,SecondEdition,alsopublishedbyWiley.