Stein's method has emerged as a critical framework in the study of distributional approximations, providing quantitative bounds between probability distributions through the formulation and solution ...

This is a preview. Log in through your library . Abstract In this paper we consider generalized linear latent variable models that can handle overdispersed counts and continuous but non-negative data.

SIAM Journal on Numerical Analysis, Vol. 26, No. 3 (Jun., 1989), pp. 553-573 (21 pages) Some recent results concerning maximum-norm superconvergence of the gradient in piecewise linear finite-element ...