Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A test of hypotheses for random graph distributions built from EEG data   The theory of random graphs is being applied in recent years to model neural
interactions in the brain. While the probabilistic properties of random graphs
has been extensively studied in the literature, the development of statistical
inference methods for this class of objects has received less attention. In
this work we propose a non-parametric test of hypotheses to test if two samples
of random graphs were originated from the same probability distribution. We
show how to compute efficiently the test statistic and we study its performance
on simulated data. We apply the test to compare graphs of brain functional
network interactions built from electroencephalographic (EEG) data collected
during the visualization of point light displays depicting human locomotion.

10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th