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A second course in probability /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A second course in probability // Sheldon M. Ross, University of Southern California, Erol A. Peköz, Boston University.
Author:	Ross, Sheldon M.,
other author:	Peköz, Erol A.,
Description:	1 online resource (viii, 182 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 08 Sep 2023).
Subject:	Probabilities -
Online resource:	https://doi.org/10.1017/9781009179928
ISBN:	9781009179928 (ebook)

A second course in probability /
Ross, Sheldon M.,

A second course in probability /Sheldon M. Ross, University of Southern California, Erol A. Peköz, Boston University. - Second edition. - 1 online resource (viii, 182 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 08 Sep 2023).

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.

ISBN: 9781009179928 (ebook)Subjects--Topical Terms:

576360
Probabilities

LC Class. No.: QA273 / .R845 2023

Dewey Class. No.: 519.2

A second course in probability /
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500 $a Title from publisher's bibliographic system (viewed on 08 Sep 2023).
520 $a 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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