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Predicting the Future

Completing Models of Observed Complex Systems

  • Book
  • © 2013

Overview

  • Formulates long standing state and parameter estimation problems
  • Explores numerous examples drawn from a broad interdisciplinary collection of scholarly subjects
  • Proposes a universal approach with practical examples to bolster significant advances in solving the problems of model determination and parameter estimation
  • Includes supplementary material: sn.pub/extras

Part of the book series: Understanding Complex Systems (UCS)

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Table of contents (7 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • , Department of Physics, University of California, San Diego, La Jolla, USA

    Henry Abarbanel

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