Publication | Open Access
Limit Theorems for Nonlinear Functionals of a Stationary Gaussian Sequence of Vectors
217
Citations
14
References
1994
Year
Limit TheoremsEngineeringNonlinear FunctionalsIntegrable ProbabilityStochastic ProcessesGaussian ProcessStochastic CalculusStochastic Differential EquationLimit LawProbability TheoryStochastic PhenomenonStationary Gaussian SequenceFunctional AnalysisApproximation TheoryMultiple Ito-wiener IntegralConvergence AnalysisNonlinear Functional Analysis
Limit theorems for functions of stationary mean-zero Gaussian sequences of vectors satisfying long range dependence conditions are considered. Depending on the rate of decay of the coefficients, the limit law can be either Gaussian or the law of a multiple Ito-Wiener integral. We prove the bootstrap of these limit theorems in the case when the limit is normal. A sufficient bracketing condition for these limit theorems to happen uniformly over a class of functions is presented.
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