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Probability Theory - A Comprehensive Course (Paperback, 3rd ed. 2020)
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Probability Theory - A Comprehensive Course (Paperback, 3rd ed. 2020)
Series: Universitext
Expected to ship within 9 - 15 working days
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This popular textbook, now in a revised and expanded third edition,
presents a comprehensive course in modern probability
theory.Probability plays an increasingly important role not only in
mathematics, but also in physics, biology, finance and computer
science, helping to understand phenomena such as magnetism, genetic
diversity and market volatility, and also to construct efficient
algorithms. Starting with the very basics, this textbook covers a
wide variety of topics in probability, including many not usually
found in introductory books, such as: limit theorems for sums of
random variables martingales percolation Markov chains and
electrical networks construction of stochastic processes Poisson
point process and infinite divisibility large deviation principles
and statistical physics Brownian motion stochastic integrals and
stochastic differential equations. The presentation is
self-contained and mathematically rigorous, with the material on
probability theory interspersed with chapters on measure theory to
better illustrate the power of abstract concepts. This third
edition has been carefully extended and includes new features, such
as concise summaries at the end of each section and additional
questions to encourage self-reflection, as well as updates to the
figures and computer simulations. With a wealth of examples and
more than 290 exercises, as well as biographical details of key
mathematicians, it will be of use to students and researchers in
mathematics, statistics, physics, computer science, economics and
biology.
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