9780821875780 - a course on large deviations with an introduction to gibbs measures di rassoul-agha, firas; seppalainen, timp (15 risultati)

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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: New. Series: Graduate Studies in Mathematics. Num Pages: 314 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 263 x 188 x 24. Weight in Grams: 740. . 2015. Hardcover. . . . .

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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 318 pages. 10.00x7.25x1.00 inches. In Stock.

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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Hardback. Condizione: New. This is an introductory course on the methods of computing asymptotics of probabilities of rare events: the theory of large deviations. The book combines large deviation theory with basic statistical mechanics, namely Gibbs measures with their variational characterization and the phase transition of th…e Ising model, in a text intended for a one semester or quarter course.The book begins with a straightforward approach to the key ideas and results of large deviation theory in the context of independent identically distributed random variables. This includes Cramer's theorem, relative entropy, Sanov's theorem, process level large deviations, convex duality, and change of measure arguments.Dependence is introduced through the interactions potentials of equilibrium statistical mechanics. The phase transition of the Ising model is proved in two different ways: first in the classical way with the Peierls argument, Dobrushin's uniqueness condition, and correlation inequalities and then a second time through the percolation approach.Beyond the large deviations of independent variables and Gibbs measures, later parts of the book treat large deviations of Markov chains, the Gartner-Ellis theorem, and a large deviation theorem of Baxter and Jain that is then applied to a nonstationary process and a random walk in a dynamical random environment.The book has been used with students from mathematics, statistics, engineering, and the sciences and has been written for a broad audience with advanced technical training. Appendixes review basic material from analysis and probability theory and also prove some of the technical results used in the text.

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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. Series: Graduate Studies in Mathematics. Num Pages: 314 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 263 x 188 x 24. Weight in Grams: 740. . 2015. Hardcover. . . . . Books ship from the US and Ireland.

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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.

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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.

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Condizione: New. pp. 314.

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Da: Antiquariat Bookfarm, Löbnitz, GermaniaAntiquariat Bookfarm
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Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-02509 9780821875780 Sprache: Englisch Gewicht in Gramm: 1150.

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Da: THE SAINT BOOKSTORE, Southport, , Regno UnitoTHE SAINT BOOKSTORE
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EUR 155,90
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 181,48
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Condizione: New. pp. 314.

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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 145,91
EUR 74,89 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardback. Condizione: New. This is an introductory course on the methods of computing asymptotics of probabilities of rare events: the theory of large deviations. The book combines large deviation theory with basic statistical mechanics, namely Gibbs measures with their variational characterization and the phase transition of th…e Ising model, in a text intended for a one semester or quarter course.The book begins with a straightforward approach to the key ideas and results of large deviation theory in the context of independent identically distributed random variables. This includes Cramer's theorem, relative entropy, Sanov's theorem, process level large deviations, convex duality, and change of measure arguments.Dependence is introduced through the interactions potentials of equilibrium statistical mechanics. The phase transition of the Ising model is proved in two different ways: first in the classical way with the Peierls argument, Dobrushin's uniqueness condition, and correlation inequalities and then a second time through the percolation approach.Beyond the large deviations of independent variables and Gibbs measures, later parts of the book treat large deviations of Markov chains, the Gartner-Ellis theorem, and a large deviation theorem of Baxter and Jain that is then applied to a nonstationary process and a random walk in a dynamical random environment.The book has been used with students from mathematics, statistics, engineering, and the sciences and has been written for a broad audience with advanced technical training. Appendixes review basic material from analysis and probability theory and also prove some of the technical results used in the text.