Abstract
Having studied methods for analyzing a signal that was interpreted as a realization of a stochastic process, we now turn to some basics of model-based data analysis. We shall formulate the questions which may be addressed for a given set of data assuming a suitable model or a suitable structure of a model.
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© 2002 Springer-Verlag Berlin Heidelberg
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Honerkamp, J. (2002). Identification of Stochastic Models from Observations. In: Statistical Physics. Advanced Texts in Physics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04763-7_11
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DOI: https://doi.org/10.1007/978-3-662-04763-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07703-6
Online ISBN: 978-3-662-04763-7
eBook Packages: Springer Book Archive