Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Nonparametric modeling and spatiotemporal dynamical systems   In this article, it is described 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 the means of
backfitting algorithms or more general versions, like the alternating
conditional expectation value method. 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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The categories of this paper are: cond-mat
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The categories of this paper are: bayes-an
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The categories of this paper are: nucl-th
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The categories of this paper are: gr-qc
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
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The categories of this paper are: hep-th
16
The categories of this paper are: stat
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-ex
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The categories of this paper are: q-alg
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The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
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The categories of this paper are: quant-ph
29
The categories of this paper are: funct-an
2
The categories of this paper are: math