Probabilistic Forecasting and Bayesian Data Assimilation

Name: Probabilistic Forecasting and Bayesian Data Assimilation
Brand: Cambridge University Press
SKU: 9781107663916
Price: 66.48 EUR
Availability: InStock

Автор: Sebastian Reich, Colin Cotter

Език:

Корици: С меки корици

Издател: Cambridge University Press

Наличност: Външен склад

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66.48 € 130.02 лв

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

Информация за книгата

Автор

Sebastian Reich, Colin Cotter

Език

Английски език

Корици

Книга - С меки корици

Издадена

2015

страници

308

EAN

9781107663916

ISBN

1107663911

Enbook ID

09074665

Издател

Cambridge University Press

Теглоt

608

Размери

175 x 247 x 15

Пълно описание

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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