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1、ThispageintentionallyleftblankLarge-ScaleInferenceWeliveinanewageforstatisticalinference,wheremodernscienti?ctechnologysuchasmicroarraysandfMRImachinesroutinelyproducethousandsandsometimesmillionsofparalleldatasets,eachwithitsownestimationortestingproblem.Doingthousandsofproblemsato
2、nceinvolvesmorethanrepeatedapplicationofclassicalmethods.TakinganempiricalBayesapproach,BradleyEfron,inventorofthebootstrap,showshowinformationaccruesacrossproblemsinawaythatcombinesBayesianandfrequentistideas.Estimation,testing,andpredictionblendinthisframework,producingopportuniti
3、esfornewmethodologiesofincreasedpower.Newdi?cultiesalsoarise,easilyleadingto?awedinferences.Thisbooktakesacarefullookatboththepromiseandpitfallsoflarge-scalestatisticalinference,withparticularattentiontofalsediscoveryrates,themostsuccessfulofthenewstatisticaltechniques.Emphasisisont
4、heinferentialideasunderlyingtechnicaldevelopments,illustratedusingalargenumberofrealexamples.bradleyefronisMaxH.SteinProfessorofStatisticsandBiostatisticsattheStanfordUniversitySchoolofHumanitiesandSciences,andtheDepartmentofHealthResearchandPolicyattheSchoolofMedicine.INSTITUTEOFMA
5、THEMATICALSTATISTICSMONOGRAPHSEditorialBoardD.R.Cox(UniversityofOxford)B.Hambly(UniversityofOxford)S.Holmes(StanfordUniversity)X.-L.Meng(HarvardUniversity)IMSMonographsareconciseresearchmonographsofhighqualityonanybranchofstatisticsorprobabilityofsu?cientinteresttowarrantpublication
6、asbooks.Someconcernrelativelytraditionaltopicsinneedofup-to-dateassessment.Othersareonemergingthemes.Inallcasestheobjectiveistoprovideabalancedviewofthe?eld.Large-ScaleInferenceEmpiricalBayesMethodsforEstimation,Testing,andPredictionBRADLEYEFRONStanfordUniversitycambridgeuniversityp
7、ressCambridge,NewYork,Melbourne,Madrid,CapeTown,Singapore,SaoPaulo,Delhi,Dubai,Tokyo,MexicoCityCambridgeUniversityPressTheEdinburghBuilding,CambridgeCB28RU,UKPublishedintheUnitedStatesofAmericabyCambridgeUniversityPress,NewYorkwww.cambridge.orgInformationonthistitle:www.cambridge.or
8、g/9780521192491cB.
