Mathematics of Probability (Graduate Studies in Mathematics) - Hardcover
Book 123 of 190: Graduate Studies in Mathematics
Synopsis
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.
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About the Author
Daniel W. Stroock, Massachusetts Institute of Technology, Cambridge, MA, USA
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Mathematics of Probability
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Mathematics of Probability
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Mathematics of Probability
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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. Hardcover. . . . . Seller Inventory # V9781470409074
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Mathematics of Probability
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Mathematics of Probability
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Mathematics of Probability
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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. Hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9781470409074
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Mathematics of Probability
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Mathematics of Probability
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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