When could this be useful?

• Large # of data sets
• Similarly structured & potentially similar parameters
• Optimal if uncertainties substantial
• Complex models
• Physics slow, not analytical
• Arbitrarily complex statistical process
• separate measurement process from physics!
• Get uncertainties on physical parameters
• Model comparison

Buchner (2018): collaborative nested sampling

(in contrast to

standard ML)