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9781848000476: Probability Theory: A Comprehensive Course

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Aimed primarily at graduate students and researchers, this text is a comprehensive course in modern probability theory and its measure-theoretical foundations. It covers a wide variety of topics, many of which are not usually found in introductory textbooks. The theory is developed rigorously and in a self-contained way, with the chapters on measure theory interlaced with the probabilistic chapters in order to display the power of the abstract concepts in the world of probability theory. In addition, plenty of figures, computer simulations, biographic details of key mathematicians, and a wealth of examples support and enliven the presentation.

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Probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us to understand magnetism, amorphous media, genetic diversity and the perils of random developments on the financial markets, and they guide us in constructing more efficient algorithms.

This text is a comprehensive course in modern probability theory and its measure-theoretical foundations. Aimed primarily at graduate students and researchers, the book covers a wide variety of topics, many of which are not usually found in introductory textbooks, such as:

  • limit theorems for sums of random variables;
  • martingales;
  • percolation;
  • Markov chains and electrical networks;
  • construction of stochastic processes;
  • Poisson point processes and infinite divisibility;
  • large deviation principles and statistical physics;
  • Brownian motion; and
  • stochastic integral and stochastic differential equations.

The theory is developed rigorously and in a self-contained way, with the chapters on measure theory interlaced with the probabilistic chapters in order to display the power of the abstract concepts in the world of probability theory. In addition, plenty of figures, computer simulations, biographic details of key mathematicians, and a wealth of examples support and enliven the presentation.

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9781447153627: Probability Theory: A Comprehensive Course

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ISBN 10:  1447153626 ISBN 13:  9781447153627
Casa editrice: Springer, 2013
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Achim Klenke
Editore: Springer, 2007
ISBN 10: 1848000472 ISBN 13: 9781848000476
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Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.

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Condizione: Fine. *Price HAS BEEN REDUCED by 10% until Monday, Oct. 27 (SALE ITEM)* 633 pp., paperback, fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Codice articolo ZB1334636

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Foto dell'editore

Achim Klenke
Editore: Springer, 2008
ISBN 10: 1848000472 ISBN 13: 9781848000476
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Da: Moe's Books, Berkeley, CA, U.S.A.

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Softcover. Condizione: Very good. Base of spine noticeably bumped. Codice articolo 1114139

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