How are stochastic processes used in performance analysis of computer systems?

... Informational Risks, Peking Univ. Ser. Math. 5 ... Jeanblanc, No-arbitrage under additional information for thin semimartingale models, Stochastic Process. Apr 28, 2024 ... It is shown that Bayesian updates can be characterized as additional informational drift in the underlying asset's stochastic process. This paper deals with the problem of establishing conditions under which, in the independent Gaussian case, a stochastic process can be considered to be ... If the stochastic process representing the belief over f is sufficiently regular, then Equation (1) can be approximated arbitrarily well with finitely many ... Probability in the Engineering and Informational Sciences, vol. 12, 1998 ... BOOK: Stochastic-Process Limits, published by Springer in 2002 (602 pages). ... Stochastic Processes and their Ap- plications, 74 (2) 195-201, 1998. 21 ... gineering and Informational Science, 18 (4) 493-502, 2004. 26. Zazanis ... ... stochastic time series. We dissect the uncertainty of a single observation ... process's internal information dynamics. The measures scale with the ... stochastic process. Mutual information based distance measure can thus be used to compare texts written by different authors or to build phylogenies of ... Mar 17, 2025 ... ... stochastic process governed by statistical mechanics. These ... The toroidal model acknowledges that energy and information distributions follow ... Jul 30, 2018 ... Correlated stochastic process (colored noises) with f − k power spectrum (⁠ 0 < k ≤ 3 ⁠) is characterized by intermediate permutation entropy ...