added ability to compute malmquist_pareto prior and fixed a bug with pareto_amps. Also modified hPrior.__call__ to return a "normalized" kernal, with the width taken to be the geometric mean of the eigenvalues of self.covariances[:,:,:,n]. This mirrors the normalization scheme in pareto_amps and gives plots that approximate the correct power law
added malmquist-hPrior option and testing routines associated therewith