Background With progress on both the theoretical and the computational fronts the use of
spline modelling has become an established tool in statistical regression analysis. An …

Background Covering about 2 Mio. km 2 by the arrival of the first European settlers, the
Cerrado savannas are second in extent only to Amazonian forests amongst the South …

Nonparametric regression using deep neural networks with ReLU activation function Page 1
The Annals of Statistics 2020, Vol. 48, No. 4, 1875–1897 https://doi.org/10.1214/19-AOS1875 …

ASReml-R is a statistical package that fits linear mixed models using Residual Maximum
Likelihood (REML) in the R environment. This package uses the same computational kernel …

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

Background In 2006, WHO published international growth standards for children younger
than 5 years, which are now accepted worldwide. In the INTERGROWTH-21 st Project, our …

A valuable overview of the most important ideas and results in statistical modeling Written by
a highly-experienced author, Foundations of Linear and Generalized Linear Models is a …

This book is about learning from data using the Generalized Additive Models for Location,
Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and …

Background In 2006, WHO produced international growth standards for infants and children
up to age 5 years on the basis of recommendations from a WHO expert committee. Using the …

Abstract We use Gaia Data Release 2 to determine the mean proper motions for 150 Milky
Way globular clusters (almost the entire known population), with a typical uncertainty of 0.05 …