MG11 
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Abstract

Bayesian techniques for cosmological model building

In our quest for a cosmological standard model we often face the question of how many parameters a given data set requires, or indeed can support. Bayesian techniques offer quantitative tools to assess the number of parameters a given data sets can constrain (the Bayesian complexity) and which ones of those are required (the model likelihood). In this talk I will give an overview of Bayesian model selection tools, with particular focus on CMB anisotropies data and what we can learn from them in terms of cosmological parameter extraction and model comparison.