The Annals of Mathematical Statistics · 1972 · 62 citations · 0 references
EngineeringMathematicsFinancial EconomicsProbability TheoryStochastic ProcessesContinuous-time Stochastic ProcessesDiffusion ProcessesGaussian Process ModelingGaussian ProcessesMarkov ProcessesStochastic CalculusDiffusion EquationDiffusion Equation ModelsFunctional Law Of The Iterated LogarithmGaussian Random ProcessesItô IntegralLaw Of Iterated Logarithm
Let $\{X(s, t; \omega): (s, t) \in \lbrack 0, \infty) \times \lbrack 0, \infty)\}$ be a two parameter Gaussian process with mean function zero and covariance function $R(s_1, t_1; s_2, t_2) = \min (s_1, s_2) \min (t_1, t_2)$. This paper derives a multiparameter law of the iterated logarithm and modulus of continuity for the process $X(s, t; \omega)$. Estimates are also given which enable the author to define an Ito type integral for a suitable class of functions and to solve a diffusion equation involving the process.