An Introduction to Probabilistic Modeling (Undergraduate Texts in Mathematics) by Pierre Bremaud (PDF)

Description

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.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐The contents of the book are not those on the cover. The pages of text are about consciousness, not probabilistic modeling.

⭐A rather dry text book, but I needed it for a class. Goes over basic probability theory and provides some examples. Does not give the best explanation for different concepts, but if you just need the various formulas, this book provides them.

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