Publicaties
Gekozen filters:
Gekozen filters:
Robust and efficient estimation of nonparametric generalized linear models KU Leuven
UNLABELLED: Generalized linear models are flexible tools for the analysis of diverse datasets, but the classical formulation requires that the parametric component is correctly specified and the data contain no atypical observations. To address these shortcomings, we introduce and study a family of nonparametric full-rank and lower-rank spline estimators that result from the minimization of a penalized density power divergence. The proposed ...