2nd ed. — Cambridge: Cambridge University Press, 2023. — 190 p. — ISBN 1009179918.
Written by
Sheldon Ross and Erol Peköz, this text familiarises you with
advanced topics in probability while keeping the mathematical prerequisites to a minimum. Topics covered include
measure theory, limit theorems, bounding probabilities and expectations, coupling and Stein's method, martingales, Markov chains, renewal theory, and Brownian motion. No other text covers all these topics
rigorously but at such an
accessible level - all you need is an undergraduate-level understanding of calculus and probability.
New to this edition are sections on the gambler's ruin problem, Stein's method as applied to exponential approximations, and applications of the martingale stopping theorem. Extra end-of-chapter exercises have also been
added, with selected solutions available.This is an ideal textbook for students taking an advanced undergraduate or
graduate course in probability. It also represents a useful resource for professionals in relevant application domains,
from finance to machine learning.
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