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Predicting the Future
Completing Models of Observed Complex Systems
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Main description:

Through the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is explored.


Contents:

Preface.- 1 An Overview; The Challenge of Complex Systems.- 2 Examples as a Guide to the Issues.- 3 General Formulation of Statistical Data Assimilation.- 4 Evaluating the Path Integral.- 5 Twin Experiments.- 6 Analysis of Experimental Data.


PRODUCT DETAILS

ISBN-13: 9781461472179
Publisher: Springer (Springer-Verlag New York Inc.)
Publication date: June, 2013
Pages: 279
Weight: 5089g
Availability: Available
Subcategories: Neuroscience

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