Monte-Carlo Simulations

(eli.thegreenplace.net)

36 points | by ibobev 3 days ago

5 comments

  • stevenhubertron 0 minutes ago
    I use a Monte-Carlo for my retirement planning. This did a good job of telling me not to trust it but didn't really give me a better option. Anyone have one?
  • theOGognf 1 hour ago
    Those interested in this should read about DSMC: https://en.wikipedia.org/wiki/Direct_simulation_Monte_Carlo. It’s the same idea for low density gas interactions without having to actually simulate all the particles involved while still getting accurate results. Cool stuff!
  • hingler36 47 minutes ago
    There's been a lot of interesting work in the last ~decade on improving monte-carlo methods for solving PDEs, the field is really fascinating!

    https://github.com/rohan-sawhney/mcgp-resources

  • alexpotato 59 minutes ago
    > After running 10 million simulated draws, I got an answer of 0.0323, which matches the real answer very closely.

    If you enjoyed reading about how you can approximate complex statistical values using basic programming, I highly recommend Jake Vanderplas "Statistics for Hackers" [0][1].

    It converts the sometimes hard to grok statistics terms and formulas into some very simple loops and basic operations.

    Can't recommend it enough.

    0 - https://speakerdeck.com/pycon2016/jake-vanderplas-statistics...

    1 - https://www.youtube.com/watch?v=Iq9DzN6mvYA

  • positron26 12 minutes ago
    > Can't differentiate the function? Fuck gradients. Here's the entire fucking posterior.

    - Monte Carlo