Probability Redux: Stochastic Processes
Most of this book has focused on IID sequences of random variables. Now we consider sequences of dependent random variables. For example, daily temperatures will form a sequence of time-ordered random variables and clearly the temperature on one day is not independent of the temperature on the previous day.
KeywordsMarkov Chain Stationary Distribution Poisson Process Transition Matrix Markov Chain Monte Carlo Method
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