Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian evidence as a tool for comparing datasets   We introduce a new conservative test for quantifying the consistency of two
or more datasets. The test is based on the Bayesian answer to the question,
``How much more probable is it that all my data were generated from the same
model system than if each dataset were generated from an independent set of
model parameters?''. We make explicit the connection between evidence ratios
and the differences in peak chi-squared values, the latter of which are more
widely used and more cheaply calculated. Calculating evidence ratios for three
cosmological datasets (recent CMB data (WMAP, ACBAR, CBI, VSA), SDSS and the
most recent SNe Type 1A data) we find that concordance is favoured and the
tightening of constraints on cosmological parameters is indeed justified.

30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an