STATS 125 topic on May 7,2008; Markov Chains. It is about simple random walk or Brownie motion. That might seems more familiar to some people. It is a process that evolves randomly over time and making next simplest assumption where P(Xn+1=s(n+1) I Xn=s(n) ). OK Lets not talk about it, but I found out something interesting related to this great theory=)
Somehow, from the theorem we know that what happens next depends only on the current state of system and not on its priory history. The same applied to ourlife I think. It doesnt matter how we get to this point, but what we do now going to determine where and what are we going to be tomorrow. Thus dont regret our yesterday and take it as a valuable experience. Make full of today so that you dont regret it tomorrow.
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