We introduce a generalized additive model for location, scale, and shape (GAMLSS) next of kin aiming at distribution-free and parsimonious regression modeling for arbitrary outcomes. We replace the…
A verification method is presented to compute error bounds for all eigenvectors and eigenvalues, including clustered and/or multiple ones of a general, real, or complex matrix. In case of a narrow …
We develop an expansion, similar in some respects to the Karhunen–Loève expansion, but which is more suitable for functional data indexed by spatial locations on a grid. Unlike the traditional K…