Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 113,75
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Idioma: Inglés
Publicado por MP-AMM American Mathematical, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
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EUR 131,92
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
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Añadir al carritoCondición: 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. . . . .
Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 139,34
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Idioma: Inglés
Publicado por Amer Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
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Añadir al carritoHardcover. Condición: Brand New. 318 pages. 10.00x7.25x1.00 inches. In Stock.
Idioma: Inglés
Publicado por American Mathematical Society, US, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 155,89
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Añadir al carritoHardback. Condición: 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 the 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.
Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 144,34
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Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 155,63
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 163,01
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Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: Majestic Books, Hounslow, Reino Unido
EUR 162,22
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Añadir al carritoCondición: New. pp. 314.
Idioma: Inglés
Publicado por Providence, American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
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Añadir al carritoHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-02509 9780821875780 Sprache: Englisch Gewicht in Gramm: 1150.
Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 156,74
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 163,20
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por American Mathematical Society, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 180,27
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Añadir al carritoCondición: New. pp. 314.
Idioma: Inglés
Publicado por American Mathematical Society, US, 2015
ISBN 10: 0821875787 ISBN 13: 9780821875780
Librería: Rarewaves.com UK, London, Reino Unido
EUR 146,69
Cantidad disponible: 2 disponibles
Añadir al carritoHardback. Condición: 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 the 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.