What are the applications of Gaussian processes?

Probability in the Informational and Engineering Sciences ... Stochastics: An International Journal of Probability and Stochastic Processes (formerly Stochastics ... Oct 1, 2017 ... Convection processes have also been proposed to be represented through stochastic parameterizations (Christensen et al. 2015). Some climate ... ... information in a random process and characterizing its asymptotic behavior. ... stochastic manner. The basic approach to proving positive coding theorems. process's informational properties: hµ, E, and T. Fortu- nately, there are ... stochastic process [19]. Specifically, given a DQG. M = {U, P(s)}, the ... Mar 1, 2018 ... ... stochastic process. This has recently been verified experimentally ... & Crutchfield, J. P. Information anatomy of stochastic equilibria. Sep 4, 2024 ... For definiteness, we consider a game where N players bet on the binary outcome of a stochastic process and share the entry fees pot if ... This paper deals with the problem of establishing conditions under which, in the independent Gaussian case, a stochastic process can be considered to be ... Renewal processes are broadly used to model stochastic behavior consisting of isolated events separated by periods of quiescence, whose durations are ... We explore the effect on investment quantity in this real option regulation under various assumptions on the stochastic process for revenues. On the one ... Jul 25, 2023 ... The aggregated stochastic processes can be used to decribe evolution processes with group information observed, for example, the underlying ...