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A little book of martingales

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A little book of martingales/ by Arup Bose, Arijit Chakrabarty, Rajat Subhra Hazra.
作者:	Bose, Arup.
其他作者:	Chakrabarty, Arijit.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xv, 182 p. :ill., digital ;24 cm.
內容註:	Measure -- Signed measure -- Conditional expectation -- Martingales -- Almost sure and Lp convergence -- Application of convergence theorems -- Central limit theorem -- Additional Topics.
Contained By:	Springer Nature eBook
標題:	Martingales (Mathematics) -
電子資源:	https://doi.org/10.1007/978-981-97-4472-5
ISBN:	9789819744725

A little book of martingales
Bose, Arup.

A little book of martingales[electronic resource] /by Arup Bose, Arijit Chakrabarty, Rajat Subhra Hazra. - Singapore :Springer Nature Singapore :2024. - xv, 182 p. :ill., digital ;24 cm. - Texts and readings in mathematics,v. 862366-8725 ;. - Texts and readings in mathematics ;v. 86..

Measure -- Signed measure -- Conditional expectation -- Martingales -- Almost sure and Lp convergence -- Application of convergence theorems -- Central limit theorem -- Additional Topics.

This concise textbook, fashioned along the syllabus for master's 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 Doob's optional sampling theorem, Wald identities, Doob's 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 Hewitt-Savage, the strong laws for U-statistics and exchangeable sequences, De Finetti's theorem for exchangeable sequences and Kakutani's 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 Borel-Cantelli lemma, Azuma-Hoeffding inequality, conditional three series theorem, strong law for martingales and the Kesten-Stigum 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 Radon-Nikodym theorem and the concept of conditional expectation.

ISBN: 9789819744725

Standard No.: 10.1007/978-981-97-4472-5doiSubjects--Topical Terms:

646248
Martingales (Mathematics)

LC Class. No.: QA274.5

Dewey Class. No.: 519.287

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