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Probability Theory, An Analytic View Stroock Paperback 9781009549004 3e
Probability Theory, An Analytic View Stroock Paperback 9781009549004 3e
Probability Theory, An Analytic View Stroock Paperback 9781009549004 3e
Probability Theory, An Analytic View Stroock Paperback 9781009549004 3e
Probability Theory, An Analytic View Stroock Paperback 9781009549004 3e
Probability Theory, An Analytic View Stroock Paperback 9781009549004 3e

Probability Theory, An Analytic View Stroock Paperback 9781009549004 3e

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Probability Theory, An Analytic View\n\nA rigorous, yet entertaining, account of the analytic foundations on which Kolmogorov built the theory of probability.\n\nDaniel W. Stroock (Author)\n\n9781009549004, Cambridge University Press\n\nPaperback / softback, published 21 November 2024\n\n466 pages\n25.4 x 17.7 x 2.5 cm, 0.85 kg\n\n'Highly recommended.' M. Bona, Choice\n\nThe third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit the]

Probability Theory, An Analytic View Stroock Paperback 9781009549004 3e

Probability Theory, An Analytic View\n\nA rigorous, yet entertaining, account of the analytic foundations on which Kolmogorov built the theory of probability.\n\nDaniel W. Stroock (Author)\n\n9781009549004, Cambridge University Press\n\nPaperback / softback, published 21 November 2024\n\n466 pages\n25.4 x 17.7 x 2.5 cm, 0.85 kg\n\n'Highly recommended.' M. Bona, Choice\n\nThe third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and tools on which the modern theory relies. The main changes are the inclusion of the Gaussian isoperimetric inequality plus many improvements and clarifications throughout the text. With more than 750 exercises, it is ideal for first-year graduate students with a good grasp of undergraduate probability theory and analysis. Starting with results about independent random variables, the author introduces weak convergence of measures and its application to the central limit the]

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