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We apply Bayesian statistics to perform model selection on differentreionisation scenarios via the Multinest algorithm. Initially, we recover theresults shown by 21CMMC for the parameter estimation of 21cmFAST models. Weproceed to test several toy models of the Epoch of Reionisation (EoR) definedin contrasting morphology and scale. We find that LOFAR observations areunlikely to allow model selection even with long integration times. HERA wouldrequire 61 dipoles to perform the same analysis in 1080 hours, and becomescomparable to the SKA with 217 dipoles. We find the SKA requires only 324 hoursof observation to conclusively distinguish between our models. Once modelselection is achievable, an analysis of observational priors is performedfinding that neutral fraction checks at specific redshifts add little to noinference. We show the difficulties in model selection at the level ofdistinguishing fiducial parameters within a model or distinguishing galaxieswith a constant versus power law mass-to-light ratio. Finally, we explore theuse of the Savage-Dickey density ratio to show the redundancy of the parameterRmfp within 21cmFAST.

Bayesian Model Selection with Future 21cm Observations of The Epoch of Reionisation