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 ...
JSTOR Daily

ENTROPY OF KILLED-RESURRECTED STATIONARY MARKOV CHAINS

Journal of Applied Probability, Vol. 58, No. 1 (MARCH 2021), pp. 177-196 (20 pages) We consider a strictly substochastic matrix or a stochastic matrix with absorbing states. By using quasi-stationary ...
JSTOR Daily

How Well Do Markov Switching Models Describe Actual Business Cycles? The Case of Synchronization

Journal of Applied Econometrics, Vol. 20, No. 2, Recent Developments in Business Cycle Analysis (2005), pp. 253-274 (22 pages) The objective of this paper is to evaluate the effectiveness of using a ...
Nature

Markov Processes and Self-Similar Stochastic Models

Markov processes form a fundamental class of stochastic models in which the evolution of a system is delineated by the memoryless property. In such processes, the future state depends solely on the ...