Mathematics of Probability

Stroock, Daniel W.

ISBN 10: 1470409070 ISBN 13: 9781470409074
Published by American Mathematical Society, 2013
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This book covers the basics of modern probability theory. It begins with probability theory on finite and countable sample spaces and then passes from there to a concise course on measure theory, which is followed by some initial applications to probability theory, including independence and conditional expectations. The second half of the book deals with Gaussian random variables, with Markov chains, with a few continuous parameter processes, including Brownian motion, and, finally, with martingales, both discrete and continuous parameter ones. The book is a self-contained introduction to probability theory and the measure theory required to study it.

About the Author: Daniel W. Stroock, Massachusetts Institute of Technology, Cambridge, MA, USA

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Bibliographic Details

Title: Mathematics of Probability
Publisher: American Mathematical Society
Publication Date: 2013
Binding: Hardcover
Condition: As New

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Published by American Mathematical Society, 2013
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Stroock, Daniel W.
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Stroock, Daniel W.
Published by American Mathematical Society, 2013
ISBN 10: 1470409070 ISBN 13: 9781470409074
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Condition: New. Series: Graduate Studies in Mathematics. Num Pages: 284 pages, illustrations. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 258 x 184 x 20. Weight in Grams: 678. . 2013. . . . . Seller Inventory # V9781470409074

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Daniel W. Stroock
ISBN 10: 1470409070 ISBN 13: 9781470409074
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Hardback. Condition: New. This book covers the basics of modern probability theory. It begins with probability theory on finite and countable sample spaces and then passes from there to a concise course on measure theory, which is followed by some initial applications to probability theory, including independence and conditional expectations. The second half of the book deals with Gaussian random variables, with Markov chains, with a few continuous parameter processes, including Brownian motion, and, finally, with martingales, both discrete and continuous parameter ones. The book is a self-contained introduction to probability theory and the measure theory required to study it. Seller Inventory # LU-9781470409074

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Hardback. Condition: New. This book covers the basics of modern probability theory. It begins with probability theory on finite and countable sample spaces and then passes from there to a concise course on measure theory, which is followed by some initial applications to probability theory, including independence and conditional expectations. The second half of the book deals with Gaussian random variables, with Markov chains, with a few continuous parameter processes, including Brownian motion, and, finally, with martingales, both discrete and continuous parameter ones. The book is a self-contained introduction to probability theory and the measure theory required to study it. Seller Inventory # LU-9781470409074

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Stroock, Daniel W.
Published by American Mathematical Society, 2013
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Condition: New. Series: Graduate Studies in Mathematics. Num Pages: 284 pages, illustrations. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 258 x 184 x 20. Weight in Grams: 678. . 2013. . . . . Books ship from the US and Ireland. Seller Inventory # V9781470409074

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