Abstract Let 𝜉 = {𝜉𝑛}𝑛≥₀ be a Markov chain defined on a probability space (Ω, ℱ, ℙ) valued in a discrete topological space 𝑆 that consists of a finite number of real 𝑑 × 𝑑 matrices. As usual, ...
Markov chains and queueing theory together provide a robust framework for analysing systems that evolve randomly over time. Markov chains describe stochastic processes where the future state depends ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely examine an innovative way of ...
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