Nonparametric Modeling and Spatiotemporal Dynamical Systems
نویسنده
چکیده
This article describes how to use statistical data analysis to obtain models directly from data. The focus is put on finding nonlinearities within a generalized additive model. These models are found by means of backfitting or more general algorithms, like the alternating conditional expectation value one. The method is illustrated by numerically generated data. As an application, the example of vortex ripple dynamics, a highly complex fluid-granular system, is treated.
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عنوان ژورنال:
- I. J. Bifurcation and Chaos
دوره 14 شماره
صفحات -
تاریخ انتشار 2004