integrating out nuisances

Further insipired by yesterday's post about binary fitting , I worked today on the treatment of nuisance parameters that have known distributions . These can be treated as noise sometimes. Let me explain: If I had to cartoon inference (or measurement) in the face of nuisance parameters, I would say that frequentists profile (optimize) over the nuisances and Bayesians marginalize (integrate) over…