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Introduction to Stochastic Processes - Lecture Notes

Introduction to Stochastic Processes - Lecture Notes (with 33 illustrations)Gordan itkovi Department of MathematicsThe University of Texas at AustinContents1 probability random variables .. Countable sets .. Discrete random variables .. Expectation .. Events and probability .. Dependence and independence .. Conditional probability .. Examples .. 122 Mathematica in 15 Basic Syntax .. Numerical Approximation .. Expression Manipulation .. Lists and Functions .. Linear Algebra .. Predefined Constants .. Calculus .. Solving Equations .. Graphics .. probability Distributions and Simulation.

1.1 Random variables Probability is about random variables. Instead of giving a precise definition, let us just metion that a random variable can be thought of as an uncertain, numerical (i.e., with values in R) quantity. While it is true that we do not know with certainty what value a random variable Xwill take, we

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