2017년 1월 28일 토요일

Monte Carlo Methods

1. Monte Carlo simulations/methods
 : can be useful in all kinds of estimating situations
 - see how many games worked out and make an estimate of the answer
  => hence, the probability of completing a game
  => The more you play, the more accurate your result

 - Given a system which you can't or don't want to evaluate analytically, you can estimate properties by
  * generating a set of input values (to serve as random numbers)
  * running the system on each
  * looking at the (distribution of) the results

http://blog.minitab.com/blog/understanding-statistics/monte-carlo-is-not-as-difficult-as-you-think

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