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Category:Other Total size: 4.83 MB Added: 6 months ago (2025-03-10 23:39:02)
Share ratio:5 seeders, 0 leechers Info Hash:81C0CDCD920513663B0DDB37BD03CDDB4A7CC879 Last updated: 11 hours ago (2025-09-15 05:38:09)
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Textbook in PDF format
This concise textbook, fashioned along the syllabus for masterâs and Ph.D. programmes, covers basic results on discrete-time martingales and applications. It includes additional interesting and useful topics, providing the ability to move beyond. Adequate details are provided with exercises within the text and at the end of chapters. Basic results include Doobâs optional sampling theorem, Wald identities, Doobâs maximal inequality, upcrossing lemma, time-reversed martingales, a variety of convergence results and a limited discussion of the Burkholder inequalities. Applications include the 0-1 laws of Kolmogorov and HewittâSavage, the strong laws for U-statistics and exchangeable sequences, De Finettiâs theorem for exchangeable sequences and Kakutaniâs theorem for product martingales. A simple central limit theorem for martingales is proven and applied to a basic urn model, the trace of a random matrix and Markov chains. Additional topics include forward martingale representation for U-statistics, conditional BorelâCantelli lemma, AzumaâHoeffding inequality, conditional three series theorem, strong law for martingales and the KestenâStigum theorem for a simple branching process. The prerequisite for this course is a first course in measure theoretic probability. The book recollects its essential concepts and results, mostly without proof, but full details have been provided for the RadonâNikodym theorem and the concept of conditional expectation