Probabilistic Forecasting and Bayesian Data Assimilation

Probabilistic Forecasting and Bayesian Data Assimilation

English | August 4, 2015 | ISBN: 1107069394 | 308 Pages | PDF true | 9 MB

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.

Download:

http://longfiles.com/7x9cx7acqofu/Probabilistic_Forecasting_and_Bayesian_Data_Assimilation.pdf.html

[Fast Download] Probabilistic Forecasting and Bayesian Data Assimilation


Related eBooks:
30-Second Maths
Data Assimilation: Methods, Algorithms, and Applications
The Cartoon Guide to Calculus (Cartoon Guide Series)
Mindset Mathematics: Visualizing and Investigating Big Ideas, Grade 6
Topology: Pearson New International Edition
Practical MATLAB Basics for Engineers (Practical Matlab for Engineers)
Models, Algorithms, and Technologies for Network Analysis
Conditional Independence in Applied Probability
Sinusoids: Theory and Technological Applications
Applied Statistical Methods in Agriculture, Health and Life Sciences
Philosophy of Mathematics and Mathematical Practice in the Seventeenth Century
Physics and Mathematics of Link Homology
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.