Items related to Probability: Vol. 2 (Graduate Texts in Mathematics)
Synopsis
Advanced maths students have been waiting for this, the third edition of a text that deals with one of the fundamentals of their field. This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks and the Kalman-Bucy filter. Examples are discussed in detail, and there are a large number of exercises. This third edition...
From the Back Cover
This textbook is the second volume of a pair that presents the latest English edition of the author’s classic, Probability. Building on the foundations established in the preceding Probability-1, this volume guides the reader on to the theory of random processes. The new edition includes expanded material on financial mathematics and financial engineering; new problems, exercises, and proofs throughout; and a Historical Review charting the development of the mathematical...
About the Author
Albert N. Shiryaev is Chief Scientific Researcher and Professor of Probability Theory and Mathematical Statistics at the Steklov Mathematical Institute of the Russian Academy of Sciences and Head of the Department of Probability Theory in the Mechanics and Mathematics Faculty at Lomonosov Moscow State University. He is the recipient of the A.N. Kolmogorov Prize of the Russian Academy of Sciences in 1994 and the A.A. Markov Prize in...
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- PublisherSpringer
- Publication date2019
- ISBN 10 0387722076
- ISBN 13 9780387722078
- BindingHardcover
- LanguageEnglish
- Edition number3
- Number of pages358
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Probability-2 (Graduate Texts in Mathematics, 95, Band 95) [Hardcover] Shiryaev, Albert N. and Chibisov, Dmitry M.
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Probability-2
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Springer New York Mrz 2019, 2019
ISBN 10: 0387722076
ISBN 13: 9780387722078
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advanced maths students have been waiting for this, the third edition of a text that deals with one of the fundamentals of their field. This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks and the Kalman-Bucy filter. Examples are discussed in detail, and there are a large number of exercises. This third edition contains new problems and exercises, new proofs, expanded material on financial mathematics, financial engineering, and mathematical statistics, and a final chapter on the history of probability theory. 360 pp. Englisch. Seller Inventory # 9780387722078
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Probability-2
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ISBN 10: 0387722076
ISBN 13: 9780387722078
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook is the second volume of a pair that presents the latest English edition of the author's classic, Probability. Building on the foundations established in the preceding Probability-1, this volume guides the reader on to the theory of random processes. The new edition includes expanded material on financial mathematics and financial engineering; new problems, exercises, and proofs throughout; and a Historical Review charting the development of the mathematical theory of probability. Suitable for an advanced undergraduate or beginning graduate student with a course in probability theory, this volume forms the natural sequel to Probability-1.Probability-2 opens with classical results related to sequences and sums of independent random variables, such as the zero-one laws, convergence of series, strong law of large numbers, and the law of the iterated logarithm. The subsequent chapters go on to develop the theory of random processes with discrete time: stationary processes, martingales, and Markov processes. The Historical Review illustrates the growth from intuitive notions of randomness in history through to modern day probability theory and theory of random processes.Along with its companion volume, this textbook presents a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, the measure-theoretic foundations of probability theory, weak convergence of probability measures, and the central limit theorem. Many examples are discussed in detail, and there are a large number of exercises throughout. Seller Inventory # 9780387722078
Quantity: 1 available