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时间:2020-06-03
《扩散模型中扩散系数的非参数组合估计.pdf》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、应用概率统计第三十卷ChineseJournalofAppliedProbability第三期2014年6月andStatisticsVo1.3ONO.3Jun.2014NonparametricCombiningEstimationoftheDifusionCoeficientofDi肌sionModelsYEXUGUO1,2LINGNENGXIANG3YaoRENHAI2(DepartmentofMathematics,SoutheastUniversity,Nanjing,210096)(Sc
2、hoolofMathematicalSciences,KailiUniversity,Kaili,556011)(。SchoolofMathematics,HefeiUniversityofTechnology,Hefei,230009)AbstractInordertoimprovetheaccuracyofthedifusioncoeficientestimation,weproposeanewcombiningestimatortoestimatethedifusioncoeficientby
3、dynamicallyintegratinginformationfromthetime.domainandthestate.domain.Wefindthattheproposedestimatorcanefective.1yestimatethedifusioncoeficientofdifusionmodels,asweshowinthispaperonsimulatedtimeseries.Undercertainconditions,theasymptoticnormalityissepa
4、ratelyestablishedfortheproposednonparametricestimatorsandtheproposedtheoremprovesthatthetime-domainandstate-domainestimatorsareasymptoticallyindependent.Extensivesimulationsdemonstratetheproposedestimatoroutperformstheothertwoestimators,andalsooutperfo
5、rmstheonesintheliterature.Keywords:Nonparametricestimation,difusioncoeficient,combiningestimation,difusionmodels.AMSSubjectClassification:62G05,62G20,60J60.§1.IntroductionConsidertheproblemofestimatingthedifusioncoeficient,0.2(·),foracontinuous—timedif
6、usionprocess五satisfyingthestochasticdiferentialequationdXt=(五)dt+(Xt)dWt,t∈[0,】,(1.1)whereWtisaWienerprocesson[0,∞】.Thefunction(·)isadriftcoeficientand(·)isreferredtoasadifusioncoeficient.Asfarasthemodel(1.1)isconcerned,weknowthatithaswideapplicationsi
7、nassetprice,yieldsofbonds,financialmarkets;seetheVasicekTheresearchwaspartlysupportedbytheGuizhouProvincialNaturMScienceFoundation(LKK[2013]30,2010076),theProjectofKailiUniversity(Z1214,JG201313),AnhuiProvincialNaturalScienceFoundation(11040606M03),the
8、ProjectofScienceandResearchofMinistryofEducationofChina(309017).ReceivedSeptember10,2011.RevisedFebruary19,2014.doi:10.3969/j.issn.1001—4268.2014.03.001226应用概率统计第三十卷mode1fVasicek,1977),CIRmodel(Coxeta1.,1985),CKLSmodel(Chaneta1.,1992),t
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