Abstract
Hilbert spaces generated by smoothed bootstrap re-sample from the estimator on conditional arbitrary models, keep the dimension of equal spread or nearly equal spread for these Hilbert spaces, enable to construct the likelihood simply for bayesian model selection. We show the example of such Hilbert spaces, by the bayesian density estimator on condition of a priori to Gaussian distribution on the whole.
