61 citations · 150 across the 5 of their papers we have counts for
5 papers
Introducing doubt in Bayesian model comparison
Glenn D Starkman, Roberto Trotta, Pascal M Vaudrevange
There are things we know, things we know we don't know, and then there are things we don't know we don't know. In this paper we address the latter two issues in a Bayesian framewor…
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,…
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…
Forecasting the Bayes factor of a future observation
Roberto Trotta
I present a new procedure to forecast the Bayes factor of a future observation by computing the Predictive Posterior Odds Distribution (PPOD). This can assess the power of future e…
Reconstructing the history of dark energy using maximum entropy
C. Zunckel, R. Trotta
We present a Bayesian technique based on a maximum entropy method to reconstruct the dark energy equation of state in a non--parametric way. This MaxEnt technique allows to…