Probability theory : A Foundational Course

R. P Pakshirajan

ISBN 10: 9380250444 / ISBN 13: 9789380250441

Editore: Hindustan Book Agency Jan 2013, 2013

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Neuware - This book shares the dictum of J. L. Doob in treating Probability Theory as a branch of Measure Theory and establishes this relation early. Probability measures in product spaces are introduced right at the start by way of laying the ground work to later claim the existence of stochastic processes with prescribed finite dimensional distributions. Other topics analysed in the book include supports of probability measures, zero-one laws in product measure spaces, Erdos-Kac invariance principle, functional central limit theorem and functional law of the iterated logarithm for independent variables, Skorohod embedding, and the use of analytic functions of a complex variable in the study of geometric ergodicity in Markov chains. This book is offered as a text book for students pursuing graduate programs in Mathematics and or Statistics. The book aims to help the teacher present the theory with ease, and to help the student sustain his interest and joy in learning the subject.

Codice articolo 9789380250441

Dati bibliografici

• Titolo: Probability theory : A Foundational Course
• Editore: Hindustan Book Agency Jan 2013
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 9380250444
• ISBN 13: 9789380250441
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 250 L x 174 A x 37 P (millimetri) 250 millimetri di larghezza per 174 millimetri di altezza per 37 millimetri di profondità
• Peso: 1102 grammi

Descrizione articolo

Riassunto

This book shares the dictum of J. L. Doob in treating Probability Theory as a branch of Measure Theory and establishes this relation early. Probability measures in product spaces are introduced right at the start by way of laying the ground work to later claim the existence of stochastic processes with prescribed finite dimensional distributions. Other topics analysed in the book include supports of probability measures, zero-one laws in product measure spaces, Erdos-Kac invariance principle, functional central limit theorem and functional law of the iterated logarithm for independent variables, Skorohod embedding, and the use of analytic functions of a complex variable in the study of geometric ergodicity in Markov chains. This book is offered as a text book for students pursuing graduate programs in Mathematics and or Statistics. The book aims to help the teacher present the theory with ease, and to help the student sustain his interest and joy in learning the subject.

Product Description

Probability Theory: A Foundational Course by Pakshirajan R. P., 9789380250441, Hindustan