2015
DOI: 10.1140/epjc/s10052-014-3236-1
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AIC, BIC, Bayesian evidence against the interacting dark energy model

Abstract: Recent astronomical observations have indicated that the Universe is in a phase of accelerated expansion. While there are many cosmological models which try to explain this phenomenon, we focus on the interacting CDM model where an interaction between the dark energy and dark matter sectors takes place. This model is compared to its simpler alternative-the CDM model. To choose between these models the likelihood ratio test was applied as well as the model comparison methods (employing Occam's principle): the A… Show more

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Cited by 42 publications
(28 citation statements)
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“…This is consistent with the results of Ref. [31], where the authors conclude that the particular interacting model they study is disfavored compared to CDM, also they notice that BIC is a more restrictive criteria. The model ωCDM is also incompatible with CDM with respect to BIC.…”
Section: Analysis and Resultssupporting
confidence: 92%
“…This is consistent with the results of Ref. [31], where the authors conclude that the particular interacting model they study is disfavored compared to CDM, also they notice that BIC is a more restrictive criteria. The model ωCDM is also incompatible with CDM with respect to BIC.…”
Section: Analysis and Resultssupporting
confidence: 92%
“…From Table 3 the Jeffreys scale applied to the AIC statistical criterion favors the model RRG+RGE, while this model is strongly disfavored using the BIC criterium, a consequence of the large number of observational data, specially the SNIa data. This discrepancy in using the two criteria is a common feature found in the literature [54][55][56]. The contourplots with 1σ and 2σ Fig.…”
Section: Including Bao and Snia Datamentioning
confidence: 68%
“…We use the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC). For details see [51,52,53] AIC = χ 2 + 2P BIC = χ 2 + 2P lnd where P and d are the number of model parameters and data points in the dataset respectively. χ 2 is the minimum value of chi square.…”
Section: Information Criteriamentioning
confidence: 99%