A First Look at Rigorous Probability Theory

A First Look at Rigorous Probability Theory

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Description

This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail.

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Product details

  • Paperback | 236 pages
  • 152 x 224 x 14mm | 439.99g
  • World Scientific Publishing Co Pte Ltd
  • Singapore, Singapore
  • English
  • 2nd Revised edition
  • 9812703713
  • 9789812703712
  • 256,313

Review quote

"This book is certainly well placed to establish itself as a core reading in measure-theoretic probability ... Ýit is delightful reading and a worthwhile addition to the existing literature."

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Table of contents

The Need for Measure Theory; Probability Triples; Further Probabilistic Foundations; Expected Values; Inequalities and Convergence; Distributions of Random Variables; Stochastic Processes and Gambling Games; Discrete Markov Chains; More Probability Theorems; Weak Convergence; Characteristic Functions; Decomposition of Probability Laws; Conditional Probability and Expectation; Martingales; General Stochastic Processes.

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