Gallium-nitride power transistor (GaN HEMT) and integrated circuit technologies have
matured dramatically over the last few years, and many hundreds of thousands of devices …

In ecology, the true causal structure for a given problem is often not known, and several
plausible models and thus model predictions exist. It has been claimed that using weighted …

This article provides a tutorial for analyzing pupillometric data. Pupil dilation has become
increasingly popular in psychological and psycholinguistic research as a measure to trace …

The first edition of this book has established itself as one of the leading references on
generalized additive models (GAMs), and the only book on the topic to be introductory in …

Recent work by Reiss and Ogden provides a theoretical basis for sometimes preferring
restricted maximum likelihood (REML) to generalized cross-validation (GCV) for smoothing …

I discuss the production of low rank smoothers for d≥ 1 dimensional data, which can be
fitted by regression or penalized regression methods. The smoothers are constructed by a …

Representation of generalized additive models (GAM's) using penalized regression splines
allows GAM's to be employed in a straightforward manner using penalized regression …

Description Generalized additive (mixed) models, some of their extensions and other
generalized ridge regression with multiple smoothing parameter estimation by (Restricted) …

Many attempts to predict the biotic responses to climate change rely on the 'climate
envelope'approach,,, in which the current distribution of a species is mapped in climate …

This article discusses a general framework for smoothing parameter estimation for models
with regular likelihoods constructed in terms of unknown smooth functions of covariates …