Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Objective Bayesian Model Discrimination in Follow-up Experimental
  Designs   An initial screening experiment may lead to ambiguous conclusions regarding
the factors which are active in explaining the variation of an outcome
variable: thus adding follow-up runs becomes necessary. We propose a fully
Bayes objective approach to follow-up designs, using prior distributions
suitably tailored to model selection. We adopt a model criterion based on a
weighted average of Kullback-Leibler divergences between predictive
distributions for all possible pairs of models. When applied to real data, our
method produces results which compare favorably to previous analyses based on
subjective weakly informative priors.

32
The categories of this paper are: atom-ph
1
The categories of this paper are: cs
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom