Hardcover
Probability, stochastic processes, and measure theory explained rigorously and accessibly.
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An Advanced Course in Probability and Stochastic Processes

RRP$262.99

$235.86

  • Hardcover

    358 pages

  • Release Date

    15 December 2023

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Summary

An Advanced Course in Probability and Stochastic Processes provides a modern and rigorous treatment of probability theory and stochastic processes at an upper undergraduate and graduate level. Starting with the foundations of measure theory, this book introduces the key concepts of probability theory in an accessible way, providing full proofs and extensive examples and illustrations. Fundamental stochastic processes such as Gaussian processes, Poisson random measures, Lévy processes, Markov …

Book Details

ISBN-13:9781032320465
ISBN-10:103232046X
Author:Dirk P. Kroese, Zdravko Botev
Publisher:Taylor & Francis Ltd
Imprint:Chapman & Hall/CRC
Format:Hardcover
Number of Pages:358
Release Date:15 December 2023
Weight:940g
Dimensions:178mm x 254mm
A-Format
B-Format
C-Format
An Advanced Course in Probability and Stochastic Processes by Dirk P. Kroese - ISBN: 9781032320465
178 × 254 mm
A4
mm / in
About The Author

Dirk P. Kroese

Dirk P. Kroese, PhD, is a Professor of Mathematics and Statistics at The University of Queensland. He has published over 140 articles and seven books in a wide range of areas in applied probability, mathematical statistics, data science, machine learning, and Monte Carlo methods. He is a pioneer of the well-known Cross-Entropy method—an adaptive Monte Carlo technique, which is being used around the world to help solve difficult estimation and optimization problems in science, engineering, and finance.

Zdravko Botev, PhD, teaches Computational Statistics and Applied Probability at the University of New South Wales in Sydney, Australia. He is the recipient of the 2018 Christopher Heyde Medal of the Australian Academy of Science for distinguished research in the Mathematical Sciences and the 2019 Gavin Brown prize for his work on kernel density estimation, for which he is the author of one of the most widely used Matlab software scripts.

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