How can stochastic models analyze atmospheric turbulence?

Mar 17, 2025 ... ... stochastic process governed by statistical mechanics. These ... The toroidal model acknowledges that energy and information distributions follow ... The stochastic properties of this process determine long-run learning dynamics. The challenge in establishing convergence results for <λt> stems from the ... Jan 20, 2022 ... ... stochastic processes, and information dynamics approaches. Our analysis revealed novel relationships between these metrics, which allowed us ... We present a novel and simple method to numerically calculate Fisher information matrices for stochastic chemical kinetics models. A model is proposed which treats network traffic as a stochastic process with an infinite mean delay. Such a model can be used to explain the appearance of ... the entropy rate of a stochastic process (message or sequence is seen as a succession of events). (The "rate of self-information" can also be defined for a ... While classical state-space reconstruction won't work on stochastic processes, such processes do have state-space representations [11], and, in the special ... The analysis of the stochastic process reveals the properties of the informational cascade and the informational avalanche. 4.1. Optimal trading strategy. ▷ Evolves according to a persistent stochastic process. ▷ Distribution πt|t ... ▷ Informational feedback onto CB information. L'Huillier and Zame ... becomes surprisingly non-trivial (at least in continuous time). (More on these stochastic control aspects: Part I of the arXiv preprint: “On the informational ...