Książka Probabilistic Forecasting and Bayesian Data Assimilation Sebastian Reich

Probabilistic Forecasting and Bayesian Data Assimilation

Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-18 dni
652.29
In this book the authors describe the principles and methods behind probabilistic forecasting and Ba...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2015
strony
308
EAN
9781107069398
ISBN
1107069394
Enbook ID
09074642
Waga
680
Wymiary
180 x 256 x 19

Pełny opis

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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