Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Comparison between different methods of model selection in cosmology   There are several methods for model selection in cosmology which have at
least two major goals, that of finding the correct model or predicting well. In
this work we discuss through a study of well-known model selection methods like
Akaike information criterion (AIC), Bayesian information criterion (BIC),
deviance information criterion (DIC) and Bayesian evidence, how these different
goals are pursued in each paradigm. We also apply another method for model
selection which less seen in cosmological literature, the Cross-validation
method. Using these methods we will compare two different scenarios in
cosmology, $\Lambda$CDM model and dynamical dark energy. We show that each of
the methods tends to different results in model selection. While BIC and
Bayesian evidence overrule the dynamical dark energy scenarios with 2 or 3
extra degree of freedom, the DIC and cross-validation method prefer these
dynamical models to $\Lambda$CDM model. Assuming the numerical results of
different analysis and combining cosmological and statistical aspects of the
subject, we propose cross-validation as an interesting method for model
selection in cosmology that can lead to different results in comparison with
usual methods of model selection.

17
The categories of this paper are: q-fin
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg