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Abstract: In this article, we focus on nonhomogeneous Markov processes (NHMPs), which are generalizations of the well-known homogeneous Markov processes (HMPs) and nonhomogeneous Poisson processes, ...

The peculiarities of classical Greece make empirical theories of political revolution much easier to imagine than in, say, the Persian Empire, which was a hereditary monarchy for pretty much its ...

The MDP2 package in R is a package for solving Markov decision processes (MDPs) with discrete time-steps, states and actions. Both traditional MDPs (Puterman 1994), semi-Markov decision processes ...

Shen et al. present a computational account of individual differences in mouse exploration when faced with a novel object in an open field from a previously published study (Akiti et al.) that relates ...

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It all came down to venture capital or private equity, at least for the 12 months ending in June 2023. The returns of endowments at the richest schools were paltry, clocking in at an average of 2.1 ...

for modeling and verifying properties of various subclasses of factored Robust Markov Decision Processes (fRMDPs), in particular Interval Markov Decision Processes (IMDPs) and factored IMDPs (fIMDPs) ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Markov state models (MSM) are a popular statistical method for analyzing the ...

From a mathematical point of view, a Markov chain is a stochastic process where the probability of transitioning from one state to another is determined only by the current state, not by the sequence ...