Verwandte Artikel zu Probabilistic Forecasting and Bayesian Data Assimilation...
Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics) - Softcover
Inhaltsangabe
This book covers key ideas and concepts. It is an ideal introduction for graduate students in any field where Bayesian data assimilation is applied.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Sebastian Reich is Professor of Numerical Analysis at the University of Potsdam (full time) and the University of Reading (part time). He also holds an honorary visiting professorship at Imperial College London. Reich is the author of over 100 journal articles and the co-author of Simulating Hamiltonian Dynamics (Cambridge, 2005), which has received more than 600 citations. His research areas cover numerical analysis and scientific computing with applications to classical mechanics, molecular dynamics, geophysical fluid dynamics, and data assimilation. In 2003 he received the Germund Dahlquist Prize from the Society for Industrial and Applied Mathematics (SIAM) for his work on geometric integration methods.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Probabilistic Forecasting and Bayesian Data Assimilation...
Beispielbild für diese ISBN
Probabilistic Forecasting and Bayesian Data Assimilation
Print-on-DemandAnbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PF. Zustand: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Bestandsnummer des Verkäufers 6666-IUK-9781107663916
Neu kaufen
EUR 64,16
EUR 5,98 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 20 verfügbar
Foto des Verkäufers
Probabilistic Forecasting and Bayesian Data Assimilation
Verlag:
Cambridge University Press, GB, 2015
ISBN 10: 1107663911
ISBN 13: 9781107663916
Neu
Paperback
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. 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. Bestandsnummer des Verkäufers LU-9781107663916
Neu kaufen
EUR 74,71
Versand gratis
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)
Anbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers I-9781107663916
Neu kaufen
EUR 82,28
EUR 2,69 Versand
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Probabilistic Forecasting and Bayesian Data Assimilation
Verlag:
Cambridge University Press, 2015
ISBN 10: 1107663911
ISBN 13: 9781107663916
Neu
Paperback / softback
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Bestandsnummer des Verkäufers C9781107663916
Neu kaufen
EUR 78,82
EUR 20,57 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Probabilistic Forecasting and Bayesian Data Assimilation (Paperback)
Verlag:
Cambridge University Press, Cambridge, 2015
ISBN 10: 1107663911
ISBN 13: 9781107663916
Neu
Paperback
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. 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. 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. Bestandsnummer des Verkäufers 9781107663916
Neu kaufen
EUR 74,06
EUR 44,35 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)
Anbieter: Kennys Bookstore, Olney, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This book covers key ideas and concepts. Ideal introduction for graduate students in any field where Bayesian data assimilation is applied. Num Pages: 306 pages, 70 b/w illus. 7 colour illus. 70 exercises. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 247 x 175 x 15. Weight in Grams: 608. . 2015. Paperback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9781107663916
Neu kaufen
EUR 122,78
EUR 9,42 Versand
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Probabilistic Forecasting and Bayesian Data Assimilation
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9781107663916
Neu kaufen
EUR 101,09
EUR 35,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This book covers key ideas and concepts. Ideal introduction for graduate students in any field where Bayesian data assimilation is applied. Num Pages: 306 pages, 70 b/w illus. 7 colour illus. 70 exercises. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 247 x 175 x 15. Weight in Grams: 608. . 2015. Paperback. . . . . Bestandsnummer des Verkäufers V9781107663916
Neu kaufen
EUR 136,38
EUR 9,50 Versand
Versand von Irland nach USA
Versand von Irland nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Probabilistic Forecasting and Bayesian Data Assimilation (Cambridge Texts in Applied Mathematics)
Verlag:
Cambridge University Press, 2015
ISBN 10: 1107663911
ISBN 13: 9781107663916
Gebraucht
Paperback
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Paperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Bestandsnummer des Verkäufers ERICA79011076639116
Gebraucht kaufen
EUR 119,75
EUR 29,96 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Probabilistic Forecasting and Bayesian Data Assimilation
Verlag:
Cambridge University Press, GB, 2015
ISBN 10: 1107663911
ISBN 13: 9781107663916
Neu
Paperback
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. 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. Bestandsnummer des Verkäufers LU-9781107663916
Neu kaufen
EUR 72,52
EUR 77,91 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar