Скачать или смотреть Markov Chain Simulation Code Walkthrough

This video showcases the CODE WALKTHROUGH behind a #shiny and #rstats simulation for exploring the Gambler's Ruin problem as a stochastic system known as a Markov chain. Using the #simulation, users can define inputs and then calculate the output matrix representing the likelihood that the gambler will win or lose the game.

This simulation is also useful for thinking about matrices and vectors.

Related links:
https://scholarworks.uttyler.edu/cgi/...

https://en.wikipedia.org/wiki/Markov_...

https://journal.oscm-forum.org/journa...

https://shiny.posit.co/

The code is available on GitHub!
https://github.com/asantone/shiny/blo...

Try it! (not too much please, I'm on the free tier for now)
https://sandbox.shinyapps.io/gamblers...

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Music: I made it with online AI tools. :)