Example: stock market
Expected Value And Markov Chains
Found 2 free book(s)
Algorithms for Reinforcement Learning
sites.ualberta.cavariables, conditional expectations, and Markov chains. It is helpful, but not necessary, for the reader to be familiar with statistical learning theory, as the essential concepts will be explained as needed. In some parts of the book, knowledge of regression techniques of machine learning will be useful. This book has three parts.
Introduction to Stochastic Processes - Lecture Notes
web.ma.utexas.eduWhile it is true that we do not know with certainty what value a random variable Xwill take, we usually know how to compute the probability that its value will be in some some subset of R. For example, we might be interested in P[X 7], P[X2[2;3:1]] or P[X2f1;2;3g]. The collection of all such probabilities is called the distribution of X.