Probabilistic Forecasting and Bayesian Data Assimilation

Name: Probabilistic Forecasting and Bayesian Data Assimilation
Brand: Cambridge University Press
SKU: 9781107069398
Price: 3727 CZK
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Autor: Sebastian Reich, Colin Cotter

Jazyk:

Vazba: Pevná

Vydavatel: Cambridge University Press

Dostupnost: Skladem u dodavatele

Odesíláme za 10-18 dnů

3 727 Kč

In this book the authors describe the principles and methods behind probabilistic forecasting and Ba...

Informace o knize

Autor

Sebastian Reich, Colin Cotter

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2015

Stránek

308

EAN

9781107069398

ISBN

1107069394

Enbook ID

09074642

Vydavatel

Cambridge University Press

Hmotnost

680

Rozměry

180 x 256 x 19

Kompletní popis

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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Probabilistic Forecasting and Bayesian Data Assimilation

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