What are some applications of Poisson processes?

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The stochastic properties of this process determine long-run learning dynamics. The challenge in establishing convergence results for <λt> stems from the ... Stationary quantum information sources emit sequences of correlated qudits—that is, structured quantum stochastic processes. Mar 17, 2025 ... ... stochastic process governed by statistical mechanics. These ... The toroidal model acknowledges that energy and information distributions follow ... ... Informational Sciences (PEIS), 3, 223-236. Sigman, K., (1990). One ... Independent Sampling of a Stochastic Process Stoch. Proc. Appls., 74, 151 ... Apr 15, 2025 ... ... stochastic process. We introduce an informational taxonomy to profile these correlations via a suite of multivariate information measures. Jan 20, 2022 ... ... stochastic processes, and information dynamics approaches. Our analysis revealed novel relationships between these metrics, which allowed us ... In particular, if we partition a set of stochastic processes into groups whose sums must be forecast independently, then the statistical properties of each ... This paper deals with the problem of establishing conditions under which, in the independent Gaussian case, a stochastic process can be considered to be ... ... stochastic processes or theoretical models. With the development of transfer ... In the bivariate case, information flow from process J to process I is ... Wu is with School of Mathematics and Informational Science,. Yantai ... Proposition 2: If a stochastic process is locally strongly uni- formly ...
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