An Introduction to Probabilistic Modeling

Beschreibung

Introduction to the basic concepts of probability theory: independence, expectation, convergence in law and almost-sure convergence. Short expositions of more advanced topics such as Markov Chains, Stochastic Processes, Bayesian Decision Theory and Information Theory.

Autor*in

Pierre Bremaud

Themen in »An Introduction to Probabilistic Modeling«

Branching process Conditional probability Markov chain Poisson process Probability space Probability theory Random variable Stochastic processes Variance coding stochastic process

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