marjorie hahn (17 Ergebnisse)

Hardcover. Zustand: Fine.

Broschiert. Zustand: Gut. 457 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 790.

Softcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-05041 3540157042 Sprache: Englisch Gewicht in Gramm: 1150.

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Hardcover. Zustand: Near Fine. Zustand des Schutzumschlags: Fine. First edition. 8vo. [7], viii-xx, [3], 4-594, [2] pp. Blue cloth with gold lettering on the front board and spine. Price of $55.95 on the front flap of the dust jacket. Illustrated with two full-page images: a photograph of Grene and a facsimile of a manuscript of hers. Part of the Library of Living Philosophers, volume xxix. Edited by Randall E. Auxier and Lewis Edwin Hahn. With an autobiography of Grene and with contributions from Richard Schacht, Rosenthal, and several others. Grene's replies to these authors are also included. A nice compendium of Grene's life and work on the philosophy of biology, epistemology, and the history of philosophy. A small concavity to the spine.

Hardcover. Zustand: Très bon. Ancien livre de bibliothèque avec équipements. Edition 1998. Tome 43. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1998. Volume 43. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - On large deviations of sums of independent random vectors.- The non-existence of a Universal multiplier moment for the central limit theorem.- The Fatou inequality revisited. ¿ Variations on a theme by A. Dvoretzky.- Limit theorems for sojourns of stochastic processes.- Intrinsic bounds on some real-valued stationary random functions.- Subspaces of L N , arithmetical diameter and sidon sets.- Reproducing kernel Hilbert space for some non-Gaussian processes.- An extended Wichura theorem, definitions of Donsker class, and weighted empirical distributions.- Comparaison de mesures gaussiennes et de mesures produit dans les espaces de Frechet separables.- On convergence and demiconvergence of block martingales and submartingales.- M-infinitely divisible random compact convex sets.- On Brunk¿s law of large numbers in some type 2 spaces.- Necessary and sufficient condition for the uniform law of large numbers.- An introduction to large deviations.- Random integral representation for another class of limit laws.- The law of the iterated logarithm in the p spaces.- A square root law for diffusing particles.- Stochastic processes with sample paths in exponential Orlicz spaces.- A Skorohod - like representation in infinite dimensions.- Moment inequalities for real and vector p-stable stochastic integrals.- A note on the convergence to Gaussian laws of sums of stationary -mixing triangular arrays.- Max-infinite divisibility and max-stability in infinite dimensions.- A maximal law of the iterated logarithm for operator-normalized stochastically compact partial sums of i.i.d. random vectors.- Stable measures and processes in statistical physics.- Comparison of martingale difference sequences.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 464 | Sprache: Englisch | Produktart: Bücher | On large deviations of sums of independent random vectors.- The non-existence of a Universal multiplier moment for the central limit theorem.- The Fatou inequality revisited. ¿ Variations on a theme by A. Dvoretzky.- Limit theorems for sojourns of stochastic processes.- Intrinsic bounds on some real-valued stationary random functions.- Subspaces of L N ? , arithmetical diameter and sidon sets.- Reproducing kernel Hilbert space for some non-Gaussian processes.- An extended Wichura theorem, definitions of Donsker class, and weighted empirical distributions.- Comparaison de mesures gaussiennes et de mesures produit dans les espaces de Frechet separables.- On convergence and demiconvergence of block martingales and submartingales.- M-infinitely divisible random compact convex sets.- On Brunk¿s law of large numbers in some type 2 spaces.- Necessary and sufficient condition for the uniform law of large numbers.- An introduction to large deviations.- Random integral representation for another class of limit laws.- The law of the iterated logarithm in the ?p spaces.- A square root law for diffusing particles.- Stochastic processes with sample paths in exponential Orlicz spaces.- A Skorohod - like representation in infinite dimensions.- Moment inequalities for real and vector p-stable stochastic integrals.- A note on the convergence to Gaussian laws of sums of stationary ?-mixing triangular arrays.- Max-infinite divisibility and max-stability in infinite dimensions.- A maximal law of the iterated logarithm for operator-normalized stochastically compact partial sums of i.i.d. random vectors.- Stable measures and processes in statistical physics.- Comparison of martingale difference sequences.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 348 | Sprache: Englisch | Produktart: Bücher | What is high dimensional probability? Under this broad name we collect topics with a common philosophy, where the idea of high dimension plays a key role, either in the problem or in the methods by which it is approached. Let us give a specific example that can be immediately understood, that of Gaussian processes. Roughly speaking, before 1970, the Gaussian processes that were studied were indexed by a subset of Euclidean space, mostly with dimension at most three. Assuming some regularity on the covariance, one tried to take advantage of the structure of the index set. Around 1970 it was understood, in particular by Dudley, Feldman, Gross, and Segal that a more abstract and intrinsic point of view was much more fruitful. The index set was no longer considered as a subset of Euclidean space, but simply as a metric space with the metric canonically induced by the process. This shift in perspective subsequently lead to a considerable clarification of many aspects of Gaussian process theory, and also to its applications in other settings.

Hardcover. Zustand: Brand New. 200 pages. 10.00x7.00x0.75 inches. In Stock.

Zustand: New. In.

Taschenbuch. Zustand: Neu. High Dimensional Probability | Ernst Eberlein (u. a.) | Taschenbuch | Progress in Probability | viii | Englisch | 2012 | Birkhäuser | EAN 9783034897907 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - What is high dimensional probability Under this broad name we collect topics with a common philosophy, where the idea of high dimension plays a key role, either in the problem or in the methods by which it is approached. Let us give a specific example that can be immediately understood, that of Gaussian processes. Roughly speaking, before 1970, the Gaussian processes that were studied were indexed by a subset of Euclidean space, mostly with dimension at most three. Assuming some regularity on the covariance, one tried to take advantage of the structure of the index set. Around 1970 it was understood, in particular by Dudley, Feldman, Gross, and Segal that a more abstract and intrinsic point of view was much more fruitful. The index set was no longer considered as a subset of Euclidean space, but simply as a metric space with the metric canonically induced by the process. This shift in perspective subsequently lead to a considerable clarification of many aspects of Gaussian process theory, and also to its applications in other settings.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - What is high dimensional probability Under this broad name we collect topics with a common philosophy, where the idea of high dimension plays a key role, either in the problem or in the methods by which it is approached. Let us give a specific example that can be immediately understood, that of Gaussian processes. Roughly speaking, before 1970, the Gaussian processes that were studied were indexed by a subset of Euclidean space, mostly with dimension at most three. Assuming some regularity on the covariance, one tried to take advantage of the structure of the index set. Around 1970 it was understood, in particular by Dudley, Feldman, Gross, and Segal that a more abstract and intrinsic point of view was much more fruitful. The index set was no longer considered as a subset of Euclidean space, but simply as a metric space with the metric canonically induced by the process. This shift in perspective subsequently lead to a considerable clarification of many aspects of Gaussian process theory, and also to its applications in other settings.

Hardcover. Zustand: Brand New. 1st edition. 624 pages. 9.25x6.25x1.50 inches. In Stock.

gebundene Ausgabe. Zustand: Gut. Die hier angebotenen Bände stammen aus einer teilaufgelösten Bibliothek und weisen die entsprechenden Kennzeichnungen auf (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Bd. I und II folienkaschiert; KOMPLETTPREIS für 3 Bände; Text in ENGLISCHER Sprache; Sprache: Englisch Gewicht in Gramm: 2350.