Understanding the inter-relationships between traffic flow, density, and speed through the
study of the fundamental diagram of road traffic is critical for traffic modelling and …

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

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 …

This is a book about statistical distributions, their properties, and their application to
modelling the dependence of the location, scale, and shape of the distribution of a response …

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 …

Evidence derived from laboratory medicine plays a pivotal role in the diagnosis, treatment
monitoring, and prognosis of various diseases. Reference intervals (RIs) are indispensable …

A tutorial of the generalized additive models for location, scale and shape (GAMLSS) is
given here using two examples. GAMLSS is a general framework for performing regression …

Much like genomics, brain connectomics has rapidly become a core component of most
national brain projects around the world. Beyond the ambitious aims of these projects, a …

Background Although noninvasive blood pressure (NIBP) monitoring during anesthesia is a
standard of care, reference ranges for blood pressure in anesthetized children are not …

Measurements of the average properties of vehicular traffic are inherently noisy. The
distributions of flow and speed measurements at any particular density are non-Gaussian …