期刊
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
卷 14, 期 6, 页码 2027-2039出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0218127404010382
关键词
time series analysis; spatiotemporal modeling; statistical analysis
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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