This video showcases 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.
** Stay tuned for 1) my upcoming video where I take a look at a basic Shiny app and 2) the CODE WALKTHROUGH for my interactive Markov chain simulation! **
Related links:
scholarworks.u...
en.wikipedia.o...
journal.oscm-f...
shiny.posit.co/
The code is available on GitHub!
github.com/asa...
Try it! (not too much please, I'm on the free tier for now)
sandbox.shinya...
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Thank you for your support!
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Music: I made it with online AI tools. :)
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