Publicación:
ESTIMATION AND PREDICTION OF GAUSSIAN PROCESSES USING GENERALIZED CAUCHY COVARIANCE MODEL UNDER FIXED DOMAIN ASYMPTOTICS

dc.creatorTARIK FAOUZI
dc.date2019
dc.date.accessioned2025-01-10T15:05:44Z
dc.date.available2025-01-10T15:05:44Z
dc.date.issued2019
dc.description.abstractWE STUDY ESTIMATION AND PREDICTION OF GAUSSIAN PROCESSES WITH COVARIANCE MODEL BELONGING TO THE GENERALIZED CAUCHY (GC) FAMILY, UNDER FIXED DOMAIN ASYMPTOTICS. GAUSSIAN PROCESSES WITH THIS KIND OF COVARIANCE FUNCTION PROVIDE SEPARATE CHARACTERIZATION OF FRACTAL DIMENSION AND LONG RANGE DEPENDENCE, AN APPEALING FEATURE IN MANY PHYSICAL, BIOLOGICAL OR GEOLOGICAL SYSTEMS. THE RESULTS OF THE PAPER ARE CLASSIFIED INTO THREE PARTS. IN THE FIRST PART, WE CHARACTERIZE THE EQUIVALENCE OF TWO GAUSSIAN MEASURES WITH GC COVARIANCE FUNCTION. THEN WE PROVIDE SUFFICIENT CONDITIONS FOR THE EQUIVALENCE OF TWO GAUSSIAN MEASURES WITH MAT{É}RN (MT) AND GC COVARIANCE FUNCTIONS AND TWO GAUSSIAN MEASURES WITH GENERALIZED WENDLAND (GW) AND GC COVARIANCE FUNCTIONS. IN THE SECOND PART, WE ESTABLISH STRONG CONSISTENCY AND ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM LIKELIHOOD ESTIMATOR OF THE MICROERGODIC PARAMETER ASSOCIATED TO GC COVARIANCE MODEL, UNDER FIXED DOMAIN ASYMPTOTICS. THE LAST PART FOCUSES ON OPTIMAL PREDICTION WITH GC MODEL AND SPECIFICALLY, WE GIVE CONDITIONS FOR ASYMPTOTIC EFFICIENCY PREDICTION AND ASYMPTOTICALLY CORRECT ESTIMATION OF MEAN SQUARE ERROR USING A MISSPECIFIED GC, MT OR GW MODEL, UNDER FIXED DOMAIN ASYMPTOTICS. OUR FINDINGS ARE ILLUSTRATED THROUGH A SIMULATION STUDY: THE FIRST COMPARES THE FINITE SAMPLE BEHAVIOR OF THE MAXIMUM LIKELIHOOD ESTIMATION OF THE MICROERGODIC PARAMETER OF THE GC MODEL WITH THE GIVEN ASYMPTOTIC DISTRIBUTION. WE THEN COMPARE THE FINITE-SAMPLE BEHAVIOR OF THE PREDICTION AND ITS ASSOCIATED MEAN SQUARE ERROR WHEN THE TRUE MODEL IS GC AND THE PREDICTION IS PERFORMED USING THE TRUE MODEL AND A MISSPECIFIED GW MODEL.
dc.formatapplication/pdf
dc.identifier.doi10.1214/19-EJS1597
dc.identifier.issn1935-7524
dc.identifier.issn1935-7524
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/10394
dc.languagespa
dc.publisherElectronic Journal of Statistics
dc.relation.uri10.1214/19-EJS1597
dc.rightsPUBLICADA
dc.titleESTIMATION AND PREDICTION OF GAUSSIAN PROCESSES USING GENERALIZED CAUCHY COVARIANCE MODEL UNDER FIXED DOMAIN ASYMPTOTICS
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE ESTADISTICA
ubb.SedeCONCEPCIÓN
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