What are stochastic models of political transitions?

In particular, if we partition a set of stochastic processes into groups whose sums must be forecast independently, then the statistical properties of each ... ... Stochastic Processes and their Ap- plications, 74 (2) 195-201, 1998. 21 ... gineering and Informational Science, 18 (4) 493-502, 2004. 26. Zazanis ... The second process takes two fragments and mixes their informational ... Information Fusion Based on Stochastic Processes and Quantum Mechanics. Appl ... Mar 9, 2023 ... [44] for the general Markov process. This result also gives another link between information geometry in the space of path probability densities ... We studied how this growth process shapes the length distribution of informational polymers. Using stochastic simulations, we find that the process generally ... 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 ... This paper describes a method for obtaining numerical information concerning the time-dependent behavior of stochastic processes such as those arising in ... Apr 28, 2024 ... It is shown that Bayesian updates can be characterized as additional informational drift in the underlying asset's stochastic process. Also, as we shall point out, mutual information corresponds to the increase in the doubling rate of wealth given side information. ... random processes such as ... Jul 25, 2023 ... The aggregated stochastic processes can be used to decribe evolution processes with group information observed, for example, the underlying ...