@inproceedings{cacf0ce6c6f842c18c5816a6831ec01c,
title = "Separation of stochastic and deterministic information from seismological time series with nonlinear dynamics and maximum entropy methods",
abstract = "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.",
keywords = "Maximum entropy, Nonlinear dynamics, Seismology, Separation problem, Time series",
author = "Guti{\'e}rrez, {Rafael M.} and Useche, {Gina M.} and Elias Buitrago",
year = "2007",
doi = "10.1063/1.2821292",
language = "English (US)",
isbn = "9780735404687",
series = "AIP Conference Proceedings",
pages = "410--417",
booktitle = "Bayesian Inference and Maximum Entropy Methods in Science and Engineering - 27th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2007",
note = "27th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2007 ; Conference date: 08-07-2007 Through 13-07-2007",
}