This is the technological companion for Independent Events, the Law of Total Probability, and Markov Chains (https://youtu.be/EZGwKX9CjsM). In this technological companion, we demonstrate how to build a Markov model in MATLAB (using made up initial data and transition probabilities). We'll use this model to estimate the equilibrium distribution of states for a system that models vegetation succession dynamics in a simplified desert plant community.
This video lesson supports the Probability and Statistics Core Learning Resource (CLR) (https://mathsciresearchlaunchpad.wordpress.com/probability-and-statistics/) at the Mathematical Science Research Launchpad.
Resources:
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GitHub repository containing Matlab scripts and LiveScripts used in this tutorial: https://github.com/wrightes-msrl/Markov
