9781107069398 - probabilistic forecasting and bayesian data assimilation (cambridge texts in applied mathematics) de cotter, colin; reich, sebastian (14 resultados)
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 154,56
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 174,91
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Condición: New. This book covers key ideas and concepts. It is an ideal introduction for graduate students in any field where Bayesian data assimilation is applied. Num Pages: 308 pages, 70 b/w illus. 7 colour illus. 70 exercises. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 256 x 180 x 19. W…eight in Grams: 680. . 2015. Illustrated. hardcover. . . . .
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 191,93
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 216,04
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Condición: New. pp. 320 Index.
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 219,17
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Condición: New. This book covers key ideas and concepts. It is an ideal introduction for graduate students in any field where Bayesian data assimilation is applied. Num Pages: 308 pages, 70 b/w illus. 7 colour illus. 70 exercises. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 256 x 180 x 19. W…eight in Grams: 680. . 2015. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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EUR 250,28
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Hardcover. Condición: Brand New. 1st edition. 306 pages. 9.75x7.00x0.75 inches. In Stock.
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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EUR 286,09
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Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 267,70
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead of focusing on particular application areas, the authors adopt a general dynamical systems approach, with a profusion of…low-dimensional, discrete-time numerical examples designed to build intuition about the subject. Part I explains the mathematical framework of ensemble-based probabilistic forecasting and uncertainty quantification. Part II is devoted to Bayesian filtering algorithms, from classical data assimilation algorithms such as the Kalman filter, variational techniques, and sequential Monte Carlo methods, through to more recent developments such as the ensemble Kalman filter and ensemble transform filters. The McKean approach to sequential filtering in combination with coupling of measures serves as a unifying mathematical framework throughout Part II. Assuming only some basic familiarity with probability, this book is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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EUR 168,42
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Hardcover. Condición: Brand New. 1st edition. 306 pages. 9.75x7.00x0.75 inches. In Stock. This item is printed on demand.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 202,92
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Hardcover. Condición: new. Hardcover. In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead of focusing on particular application areas, the authors adopt a general dynamical systems approach, with a profusion of low-dimensional, discrete-time numeri…cal examples designed to build intuition about the subject. Part I explains the mathematical framework of ensemble-based probabilistic forecasting and uncertainty quantification. Part II is devoted to Bayesian filtering algorithms, from classical data assimilation algorithms such as the Kalman filter, variational techniques, and sequential Monte Carlo methods, through to more recent developments such as the ensemble Kalman filter and ensemble transform filters. The McKean approach to sequential filtering in combination with coupling of measures serves as a unifying mathematical framework throughout Part II. Assuming only some basic familiarity with probability, this book is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas. This book focuses on the Bayesian approach to data assimilation, outlining the subject's key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 173,43
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Hardcover. Condición: new. Hardcover. In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead of focusing on particular application areas, the authors adopt a general dynamical systems approach, with a profusion of low-dimensional, discrete-time numeri…cal examples designed to build intuition about the subject. Part I explains the mathematical framework of ensemble-based probabilistic forecasting and uncertainty quantification. Part II is devoted to Bayesian filtering algorithms, from classical data assimilation algorithms such as the Kalman filter, variational techniques, and sequential Monte Carlo methods, through to more recent developments such as the ensemble Kalman filter and ensemble transform filters. The McKean approach to sequential filtering in combination with coupling of measures serves as a unifying mathematical framework throughout Part II. Assuming only some basic familiarity with probability, this book is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas. This book focuses on the Bayesian approach to data assimilation, outlining the subject's key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: moluna, Greven, , Alemaniamoluna
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EUR 168,51
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book focuses on the Bayesian approach to data assimilation, outlining the subject s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduc…tion for graduate students in applied mathematics..
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Librería: Majestic Books, Hounslow, , Reino UnidoMajestic Books
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EUR 223,67
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Condición: New. Print on Demand pp. 320 77 Illus. (7 Col.).
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 224,77
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Condición: New. PRINT ON DEMAND pp. 320.
