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20022023
most citedBayes in the sky: Bayesian inference and model selection in cosmology

1.3k citations · 6.8k across the 68 of their papers we have counts for

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Showing 2007Show all

8 papers · 1 filter

hep-ph2007★ 15 cited

Flat Tree-level Inflationary Potentials in Light of CMB and LSS Data

G. Ballesteros, J. A. Casas, J. R. Espinosa +2

We use cosmic microwave background and large scale structure data to test a broad and physically well-motivated class of inflationary models: those with flat tree-level potentials…

astro-ph2007★ 45 cited

Monolithic or hierarchical star formation? A new statistical analysis

Marios Kampakoglou, Roberto Trotta, Joe Silk

We consider an analytic model of cosmic star formation which incorporates supernova feedback, gas accretion and enriched outflows, reproducing the history of cosmic star formation,…

astro-ph2007★ 41 cited

On prospects for dark matter indirect detection in the Constrained MSSM

Leszek Roszkowski, Roberto Ruiz de Austri, Joe Silk +1

In the framework of the Constrained MSSM we derive the most probable ranges of the diffuse gamma radiation flux from the direction of the Galactic center and of the positron flux f…

astro-ph2007★ 78 cited

Bayesian Calibrated Significance Levels Applied to the Spectral Tilt and Hemispherical Asymmetry

Christopher Gordon, Roberto Trotta

Bayesian model selection provides a formal method of determining the level of support for new parameters in a model. However, if there is not a specific enough underlying physical…

hep-ph2007★ 110 cited

Implications for the Constrained MSSM from a new prediction for b to s gamma

Leszek Roszkowski, Roberto Ruiz de Austri, Roberto Trotta

We re-examine the properties of the Constrained MSSM in light of updated constraints, paying particular attention to the impact of the recent substantial shift in the Standard Mode…

astro-ph2007★ 2 cited

Comment on `Tainted evidence: cosmological model selection versus fitting', by Eric V. Linder and Ramon Miquel (astro-ph/0702542v2)

Andrew R Liddle, Pier Stefano Corasaniti, Martin Kunz +3

In astro-ph/0702542v2, Linder and Miquel seek to criticize the use of Bayesian model selection for data analysis and for survey forecasting and design. Their discussion is based on…