Sharkey: Modeling Chutes and Ladders as a Markov Chain and its Steady-State Probabilities

Описание к видео Sharkey: Modeling Chutes and Ladders as a Markov Chain and its Steady-State Probabilities

This video was created by Tom. It focuses on modeling a small-scale Chutes and Ladders game (that goes on forever) as a Markov Chain. It discusses the states of the Markov Chain, the transition probability matrix, and formulates the steady-state probability equations. It then solves this set of equations to determine the long-run percentage of time the Markov Chain spends in each state or, equivalently, the long-run percentage of time a player is on a particular space.

You can view the problem description before viewing the video at: http://homepages.rpi.edu/~sharkt/Mark...

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