UID:
almahu_9949685641602882
Format:
XV, 259 p. 33 illus., 25 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031498305
Series Statement:
Compact Textbooks in Mathematics,
Content:
This textbook offers an approachable introduction to measure-theoretic probability, illustrating core concepts with examples from statistics and engineering. The author presents complex concepts in a succinct manner, making otherwise intimidating material approachable to undergraduates who are not necessarily studying mathematics as their major. Throughout, readers will learn how probability serves as the language in a variety of exciting fields. Specific applications covered include the coupon collector's problem, Monte Carlo integration in finance, data compression in information theory, and more. Measure-Theoretic Probability is ideal for a one-semester course and will best suit undergraduates studying statistics, data science, financial engineering, and economics who want to understand and apply more advanced ideas from probability to their disciplines. As a concise and rigorous introduction to measure-theoretic probability, it is also suitable for self-study. Prerequisites include a basic knowledge of probability and elementary concepts from real analysis.
Note:
Preface -- Beyond discrete and continuous random variables -- Probability spaces -- Lebesgue-Stieltjes measures -- Measurable functions and random variables -- Statistical independence -- Lebesgue integral and mathematical expectation -- Properties of Lebesgue integral and convergence theorems -- Product space and coupling -- Moment generating functions and characteristic functions -- Modes of convergence -- Laws of large numbers -- Techniques from Hilbert space theory -- Conditional expectation -- Levy's continuity theorem and central limit theorem -- References -- Index.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031498299
Additional Edition:
Printed edition: ISBN 9783031498312
Additional Edition:
Printed edition: ISBN 9783031498329
Language:
English
DOI:
10.1007/978-3-031-49830-5
URL:
https://doi.org/10.1007/978-3-031-49830-5
