How are stochastic processes used to model social behavior? What are stochastic models of diffusion of innovations?

Next, in Section 3, we model the HVAC problem as a Partially Observable Markov Decision Process (POMDP) with environment dependency. Section 4 shows that the ... ... Informational Risks, Peking Univ. Ser. Math. 5 ... Jeanblanc, No-arbitrage under additional information for thin semimartingale models, Stochastic Process. This paper studies the existence of expectations equilibria for message processes on stochastic exchange environments. A message process which permits the ... stochastic process. Mutual information based distance measure can thus be used to compare texts written by different authors or to build phylogenies of ... ... process, Positive dependence, Restarting property, Stochastic properties", ... Informational Sciences. https://doi.org/10.1017/S0269964824000111. An ... Some informational properties of Markov pure-jump processes. Časopis pro ... bedded associated process, which is a bivariate discrete-time Markov process. Jul 13, 2022 ... This paper proposes a novel model of sequential information design, namely the Markov persuasion processes (MPPs), in which a sender, with informational ... The second process takes two fragments and mixes their informational ... Information Fusion Based on Stochastic Processes and Quantum Mechanics. Appl ... Probability in the Engineering and Informational Sciences, vol. 12, 1998 ... BOOK: Stochastic-Process Limits, published by Springer in 2002 (602 pages). The stochastic properties of this process determine long-run learning dynamics. The challenge in establishing convergence results for <λt> stems from the ...