Markov Chains: The Math Behind Your Google Search and News Feed

At its core, a Markov chain is a model for predicting the next event in a sequence based only on its state. It possesses ...
JSTOR Daily

The Eigenvalues of the Empirical Transition Matrix of a Markov Chain

Journal of Applied Probability, Vol. 41, Stochastic Methods and Their Applications (2004), pp. 347-360 (14 pages) This paper investigates the probabilistic behaviour of the eigenvalue of the empirical ...
JSTOR Daily

Markov Matrix Coupled Approach to Wind Speed and Direction Simulation

The present paper introduces a Markovian procedure for the simulation of wind speed and direction at a specific site. This method generates a Markov matrix from the available hourly site data for the ...
Investopedia

Understanding Markov Analysis: Simple Forecasting Method and Applications

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Hackaday

Stochastic Markov Beats

[Attoparsec] has been building intriguing musical projects on his YouTube channel for a while and his latest is no exception. Dubbed simply as “Node Module”, it is a rack-mounted hardware-based Markov ...
University of Bristol

Markov disease progression models

Markov Models for disease progression are common in medical decision making (see references below). The parameters in a Markov model can be estimated by observing the time it takes patients in any ...