简介：Inthispaper,themethodsbasedonlikelihoodratioareproposedfeeuncertaintyreasoning.Theelementaryconceptsandformulasarederivedsysttmatically,especiellyforthesituationswithdependentinformationandforthedifferenrordersofinformalion.

简介：Inthispaper,theso-calledlocallikelihoodmethodissuggestedforsolvingthechangepointproblemswhenthedataaredistributedasmultivariatenormal.Thedetectionproceduresproposednotonlyprovidestronglyeonsistentestimatesforthenumberandlocationsofthechangepoints,butalsosimplifysignificantlythecomputation.

简介：Inthispaper,twokindsofKullback-Leiblercriteriawithappropriateconstraintsareproposedtoconstructempiricallikelihoodconfidenceintervalsforthemeanofrightcensoreddata.ItisshownthatoneofthecriteriaisequivalenttoAdimari's(1997)procedure,andtheothersharesthesameasymptoticbehavior.

简介：Inthispaperweconsidersomerelatednegativehypergeometricdistributionsarisingfromtheproblemofsamplingwithoutreplacementfromanurncontainingballsofdifferentcoloursandindifferentproportionsbutstoppingonlyaftersomespecificnumberofballsofdifferentcolourshavebeenobtained.Withtheaidofsomesimplerecurrencerelationsandidentitiesweobtaininthecaseoftwocoloursthemomentsforthemaximumnegativehypergeometricdistribution,theminimumnegativehypergeometricdistribution,thelikelihoodrationegativehypergeometricdistributionandconsequentlythelikelihoodproportionalnegativehypergeometricdistributiuon.TotheextentthatthesamplingschemeisapplicabletomodellingdataasillustratedwithabiologicalexampleandinfactmanysituationsofestimatingBernoulliparametersforbinarytraitswithinafinitepopulation,theseareimportantfirst-stepresults.

简介：1.IntroductionThemethodoflikelihoodintroducedbyFisheriscertainlyoneofthemostcommonlyusedtechniquesforparametricmodels.Recentlythelikelihoodhasalsobeenshowntobeveryusefulinnonparametriccontexts.O...II--31hasintroducedempiricallikelihoodratiostatistics...

简介：Inthispaper，theempiricallikelihoodconfidenceregionsfortheregressioncoefficientinalinearmodelareconstructedunderm-dependenterrors.Itisshownthattheblockwiseempiricallikelihoodisagoodwaytodealwithdependentsamples.

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简介：Inthispaperanewtext-independentspeakerverificationmethodGSMSVisproposedbasedonlikelihoodscorenormalization.Inthisnovelmethodaglobalspeakermodelisestablishedtorepresenttheuniversalfeaturesofspeechandnormalizethelikelihoodscore.Statisticalanalysisdemonstratesthatthisnormalizationmethodcanremovecommonfactorsofspeechandbringthedifferencesbetweenspeakersintoprominence.Asaresulttheequalerrorrateisdecreasedsignificantly,verificationprocedureisacceleratedandsystemadaptabilitytospeakingspeedisimproved.

简介：为概括线性模型(GLM)，以防regressors是随机的并且有不同分布，参数的最大的可能性的估计(MLE)的asymptotic性质被学习。在合理条件下面，我们证明弱、强壮的一致性和asymptotic规度。关键词概括了线性模型-一致性-中国自然科学基础支持的Asymptotic规度先生(2000)题目分类62J12工程

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简介：Blindidentification-blindequalizationforFiniteImpulseResponse(FIR)MultipleInput-MultipleOutput(MIMO)channelscanbereformulatedastheproblemofblindsourcesseparation.Ithasbeenshownthatblindidentificationviadecorrelatingsub-channelsmethodcouldrecovertheinputsources.TheBlindIdentificationviaDecorrelatingSub-channels(BIDS)algorithmfirstconstructsasetofdecorrelators,whichdecorrelatetheoutputsignalsofsubchannels,andthenestimatesthechannelmatrixusingthetransferfunctionsofthedecorrelatorsandfinallyrecoverstheinputsignalusingtheestimatedchannelmatrix.Inthispaper,anewapproximationoftheinputsourceforFIR-MIMOchannelsbasedonthemaximumlikelihoodsourceseparationmethodisproposed.TheproposedmethodoutperformsBIDSinthepresenceofadditivewhiteGaussiannoise.