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Probabilistic forecasting and Bayesian data assimilation
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 exam...
Autores principales: | , |
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Lenguaje: | eng |
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Cambridge University Press
2015
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Acceso en línea: | http://cds.cern.ch/record/2126973 |