Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantification of observed prior and likelihood information in
  parametric Bayesian modeling   Two data-dependent information metrics are developed to quantify the
information of the prior and likelihood functions within a parametric Bayesian
model, one of which is closely related to the reference priors from Berger,
Bernardo, and Sun, and information measure introduced by Lindley. A combination
of theoretical, empirical, and computational support provides evidence that
these information-theoretic metrics may be useful diagnostic tools when
performing a Bayesian analysis.

9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci