Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Discovering Association with Copula Entropy   Discovering associations is of central importance in scientific practices.
Currently, most researches consider only linear association measured by
correlation coefficient, which has its theoretical limitations. In this paper,
we propose a new method for discovering association with copula entropy -- a
universal applicable association measure for not only linear cases, but
nonlinear cases. The advantage of the method based on copula entropy over
traditional method is demonstrated on the NHANES data by discovering more
biomedical meaningful associations.

28
The categories of this paper are: alg-geom
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
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The categories of this paper are: dg-ga
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The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys