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  • 简介:Researchonjumpregressionfunc(?)onshasnotbeenadequateyetAccordingtotheinformationaboutthenumberofjumps,theirpositionsandjumpmagnitudes,jumpregressionfunctionscanbeclassifiedintoeighttypes.Thispaperdealsespeciallywiththesecondjumpregressionfunction.Firstofall,aconceptoftrimmedsplineestimateisproposedandwithitanL~2-consistentestimateofthesmoothingpartofthejumpregressionfunctionisobtained.ThisalongwiththeL~2-consistentestimateofjumpmagnitudeconstitutesanestimateofthesecondjumpregressionfunction.Thispaperdiscussesalsothecasethatthejumppositionshavesomeindeterminacy.Anewcriterionissuggestedanditsuniquesolutionderived.Intheend,afewnumericalresultsaregiven.

  • 标签: JUMP regression function trimmed SPLINE ESTIMATE
  • 简介:CONSISTENCYFORKERNELESTIMATEOFCONDITIONALFUNCTION¥HUShuhe(DepartmentOfMathemotics,AnhuiUniversity,Hefei230039,China)Abstract:...

  • 标签: CONDITIONAL FUNCTION KERNEL ESTIMATE improved KERNEL
  • 简介:Inthispaper,thedefinitionsofBayesestimator,minimaxestimator,minimumriskequivariantestimatorandadmissibleestimatorunderthegeneralmatrixlossfunctionaregiven.Severalresultsonestimationofparameterswiththeordinarylossfunctionareextendedtothecaseofthematrixlossfunction.

  • 标签: Matrix LOSS function BAYES ESTIMATORS MINIMAX
  • 简介:Stronguniformconsistencyratesaregivenforkerneltypeestimatorsoftheconditionalfunctionwith(?)-mixingsample.Especially,fornonparametricestimatorsofkerneldensity,theregressionfunctionwhenYisbounded,conditionaldf’s,L-smoothingandM-smoothing,weobtainthesamerateO((n/logn)-1/3)asinthei.i.d.sampleestablishedbyH(?)rdle,JanssenandSerfling.

  • 标签: STRONG UNIFORM CONSISTENCY rates ■-mixing SAMPLE
  • 简介:EXTREMEPOINTRESULTSFORSTRICTPOSITIVEREALNESSOFTRANSFERFUNCTIONFAMILIESWANGLong;HUANGLin(DopartmentofMechanics,PekingUniversit...

  • 标签: Robustness analysis STRICT POSITIVE REALNESS structured
  • 简介:BasedontheanalysisoftheproblemsintraditionalGPmodel,thispaperprovidesthemodelwiththeutilityfunctionofthedecision-makerandcomparesthismodelwiththeonepresentedinreferencearticle[1].

  • 标签: GP model UTILITY FUNCTION CRITERION FUNCTION