Statistical aspects of the fractional stochastic calculus

dc.creatorTudor, Ciprian A.
dc.creatorViens, Frederi G.
dc.date2006-09-11
dc.date2007-08-17
dc.date.accessioned2026-07-07T08:24:49Z
dc.date.available2026-07-07T08:24:49Z
dc.descriptionWe apply the techniques of stochastic integration with respect to fractional Brownian motion and the theory of regularity and supremum estimation for stochastic processes to study the maximum likelihood estimator (MLE) for the drift parameter of stochastic processes satisfying stochastic equations driven by a fractional Brownian motion with any level of Hölder-regularity (any Hurst parameter). We prove existence and strong consistency of the MLE for linear and nonlinear equations. We also prove that a version of the MLE using only discrete observations is still a strongly consistent estimator.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053606000001541 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0609295
dc.identifierhttp://arxiv.org/abs/math/0609295
dc.identifierAnnals of Statistics 2007, Vol. 35, No. 3, 1183-1212
dc.identifierdoi:10.1214/009053606000001541
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/136473
dc.subjectStatistics Theory
dc.subjectProbability
dc.subject62M09 (Primary); 60G18, 60H07, 60H10 (Secondary)
dc.titleStatistical aspects of the fractional stochastic calculus
dc.typetext

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