What are the applications of stochastic processes in political science? How can stochastic models analyze voting behavior?

Jan 20, 2022 ... ... stochastic processes, and information dynamics approaches. Our analysis revealed novel relationships between these metrics, which allowed us ... ... stochastic process, whether the original process is Markovian or not. ... information sharing called "informational coherence". Informational coherence, in ... May 13, 2023 ... Defended December 14th, 2022. i. Page 3. Rigorous Analysis of Markov Processes with Applications to Quantum Information. 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 ... ... process, Positive dependence, Restarting property, Stochastic properties", ... Informational Sciences. https://doi.org/10.1017/S0269964824000111. An ... ... stochastic processes or theoretical models. With the development of transfer ... In the bivariate case, information flow from process J to process I is ... This paper describes a method for obtaining numerical information concerning the time-dependent behavior of stochastic processes such as those arising in ... Jun 6, 2018 ... Biological systems can share and collectively process information to yield emergent effects, despite inherent noise in communication. While ... We present a novel and simple method to numerically calculate Fisher information matrices for stochastic chemical kinetics models. Probability in the Engineering and Informational Sciences, vol. 12, 1998 ... BOOK: Stochastic-Process Limits, published by Springer in 2002 (602 pages).