Separation of Stochastic and Deterministic Information from Seismological Time Series with Nonlinear Dynamics and Maximum Entropy Methods

Journal Article · Tue Nov 13 00:00:00 EST 2007 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.2821292· OSTI ID:21039278

Gutierrez, Rafael M; Useche, Gina M; Buitrago, Elias ^[1]

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1. Centro de Investigaciones, Universidad Antonio Narino, Carrera 3 Este No. 47A--15 Bogota (Colombia)

We present a procedure developed to detect stochastic and deterministic information contained in empirical time series, useful to characterize and make models of different aspects of complex phenomena represented by such data. This procedure is applied to a seismological time series to obtain new information to study and understand geological phenomena. We use concepts and methods from nonlinear dynamics and maximum entropy. The mentioned method allows an optimal analysis of the available information.

• OSTI ID: 21039278
• Journal Information: AIP Conference Proceedings, Vol. 954, Issue 1; Conference: 27. International workshop on Bayesian inference and maximum entropy methods in science and engineering, Saratoga Springs, NY (United States), 8-13 Jul 2007; Other Information: DOI: 10.1063/1.2821292; (c) 2007 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
CALCULATION METHODS
ENTROPY
INFORMATION
INFORMATION THEORY
NONLINEAR PROBLEMS
SEISMOLOGY
STOCHASTIC PROCESSES