Markov Chains : The Strange Math That Predicts Almost Anything

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

How Clear Probabilistic Models Can Strengthen Intelligent Systems in an Uncertain World

Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...
JSTOR Daily

Periodic Strong Ergodicity in Non-Homogeneous Markov Systems

This paper presents a unified treatment of the convergence properties of non-homogeneous Markov systems under different sets of assumptions. First the periodic case is studied and the limiting ...
Nature

Statistical Physics of Spin Systems and Markov Dynamics

Statistical physics of spin systems provides a versatile framework for understanding phase transitions and critical phenomena by modelling collections of interacting discrete variables, or “spins”, ...
JSTOR Daily

On the equilibrium personnel structure in the presence of vertical and horizontal mobility via multivariate Markov chains

The present paper employs the Multivariate Homogeneous Markov System (MHMS) in the context of Markov manpower planning modelling. The system is regulated by an embedded multivariate Markov process ...