Efficient spline orthogonal basis for representation of density
functions
Efficient spline orthogonal basis for representation of density
functions
Probability density functions form a specific class of functional data objects with intrinsic properties of scale invariance and relative scale characterized by the unit integral constraint. The Bayes spaces methodology respects their specific nature, and the centred log-ratio transformation enables processing such functional data in the standard Lebesgue space of …