: Using nested-sampling algorithms to estimate evidence by marginalizing over unknown parameters, such as the mean population.
: Selecting specific features to sharpen class boundaries and reduce the computational footprint. Preprocessing : 123018
: Directly calculating the evidence for a "noise-only" ( ) hypothesis versus a "signal-plus-noise" ( ) hypothesis. : Using nested-sampling algorithms to estimate evidence by