Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Choice of mixture Poisson models based on Extreme value theory   Count data are omnipresent in many applied fields, often with overdispersion
due to an excess of zeroes or extreme values. With mixtures of Poisson
distributions representing an elegant and appealing modelling strategy, we
focus here on the challenging problem of identifying a suitable mixing
distribution and study how extreme value theory can be used. We propose an
original strategy to select the most appropriate candidate among three
categories: Fr{\'e}chet, Gumbel and pseudo-Gumbel. Such an approach is
presented with the aid of a decision tree and evaluated with numerical
simulations.

31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat