Actuarial Programming

Python Haskell R and so on

Monty Carlo Simulation in Haskell

with 4 comments


Just created a simple simulation of the Monty Carlo game using Haskell. Apparently the code above did not fully utilize the powerful syntax of Haskell, but it is my first product. Most importantly, it gives me the right conclusion the probability of winning by staying/switching is 33.3%/66.7%. So remember, always choose to switch!

At first it was tricky to get the types correct. And it was tricky about the indentation too. After all, it was fun and I have learnt something that I already knew in a practical way. I will feed in the details tomorrow night, if I have time ^_^.


Written by _|_

January 5, 2009 at 4:03 pm

Posted in Haskell

4 Responses

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  1. Does anyone know how to post code in wordpress here? I think a screenshot is a rather dumb idea.


    January 5, 2009 at 4:05 pm

  2. If you have 3 choices (a,b,c), and you choose ‘a’.

    If you are shown that ‘b’ is wrong and offered the choice of staying with ‘a’ or switching to ‘c’, the odds favor the switch. Here’s why:

    When you pick ‘a’ from a,b,c… you have a 1/3 chance of being correct. After you are shown that ‘b’ is the wrong choice (and ‘b’ is then removed) if you stay with your initial choice your odds remain at 1/3.

    However, if you switch to ‘c’, you know have a 1/2 chance of being correct. It seems screwy, but ask any stats major… they will confirm.

    I only wrote this comment b/c your post said 1/3 to stay and 2/3 to switch. It’s actually 1/3 to stay, 1/2 to switch.

    Jason Ewton

    January 5, 2009 at 4:21 pm

  3. […] Hall problem using Monte Carlo simulations Jump to Comments n0ne showed how to translate Monte Carlo simulations of the Monty Hall Problem from Ruby and Python to […]

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