Abstract:Abstract. Bounds for the distribution of some functionals of a stochastic process {X(t), t ∈ T } belonging to the class V (ϕ, ψ) are obtained. An example of the functionals studied in the paper is given bywhere f (t) is a continuous function that can be viewed as a service output rate of a queue formed by the process X(t). For the latter interpretation, the bounds can be viewed as upper estimates for the buffer overflow probabilities with buffer size x > 0. The results obtained in the paper apply to Gaussian s… Show more
“…It extends a series of papers [4,5,12,13,14] studying probabilities of exceeding by such processes a level specified by a given function in C(T) spaces. Such problems find an application in queuing and risk theories, for example, for estimating the ruin probability or buffer overflow probability in a model with ϕ-sub-Gaussian input process.…”
Section: Introductionmentioning
confidence: 61%
“…General theory and various applications of sub-Gaussian, ϕ-sub-Gaussian, and strictly ϕ-sub-Gaussian random variables and processes can be found in the book of Buldygin and Kozachenko [1] and in the papers [2,4,5,7,8,9,12,13,14].…”
We study deviations of ϕ-sub-Gaussian stochastic process from a measurable function and generalize the results of [6]. We obtain a bound for the distributions of norms in the space L p (T). As an example, the obtained result is applied for an aggregate of independent processes of generalized ϕ-sub-Gaussian fractional Brownian motions.MSC: 60G07, 60G18
“…It extends a series of papers [4,5,12,13,14] studying probabilities of exceeding by such processes a level specified by a given function in C(T) spaces. Such problems find an application in queuing and risk theories, for example, for estimating the ruin probability or buffer overflow probability in a model with ϕ-sub-Gaussian input process.…”
Section: Introductionmentioning
confidence: 61%
“…General theory and various applications of sub-Gaussian, ϕ-sub-Gaussian, and strictly ϕ-sub-Gaussian random variables and processes can be found in the book of Buldygin and Kozachenko [1] and in the papers [2,4,5,7,8,9,12,13,14].…”
We study deviations of ϕ-sub-Gaussian stochastic process from a measurable function and generalize the results of [6]. We obtain a bound for the distributions of norms in the space L p (T). As an example, the obtained result is applied for an aggregate of independent processes of generalized ϕ-sub-Gaussian fractional Brownian motions.MSC: 60G07, 60G18
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