Name: Probability Theory: A Comprehensive Course (Universitext) (en Inglés)
SKU: 53373271
Price: 70.56 USD
Availability: InStock
Author: Achim Klenke
ISBN: 9783030564018

portada Probability Theory: A Comprehensive Course (Universitext) (en Inglés)

Probability Theory: A Comprehensive Course (Universitext) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Achim Klenke

Año

2020

Idioma

Inglés

N° páginas

716

Encuadernación

Tapa Blanda

ISBN13

9783030564018

N° edición

Categorías

Cálculo y análisis matemático

Probability Theory: A Comprehensive Course (Universitext) (en Inglés)

Achim Klenke (Autor) · Springer · Tapa Blanda

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Reseña del libro "Probability Theory: A Comprehensive Course (Universitext) (en Inglés)"

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.