Investigation of sample paths properties for some classes of φ-sub-Gaussian stochastic processes

Autor: Lyudmyla Sakhno, Olha Hopkalo
Rok vydání: 2021
Předmět:
Zdroj: Modern Stochastics: Theory and Applications, Vol 8, Iss 1, Pp 41-62 (2021)
ISSN: 2351-6054
2351-6046
Popis: This paper investigates sample paths properties of φ-sub-Gaussian processes by means of entropy methods. Basing on a particular entropy integral, we treat the questions on continuity and the rate of growth of sample paths. The obtained results are then used to investigate the sample paths properties for a particular class of φ-sub-Gaussian processes related to the random heat equation. We derive the estimates for the distribution of suprema of such processes and evaluate their rate of growth.
Databáze: OpenAIRE