We provide an overview of linear quantile regression models for continuous responses
repeatedly measured over time. We distinguish between marginal approaches, that explicitly …

Drastic advancement in computing technology and the dramatic increase in the usage of
explainable machine learning algorithms provide a promising platform for developing robust …

Objective To investigate if daily vigorous physical activity (VPA), adjusted for minutes of
moderate physical activity (MPA) performed, differs by socioeconomic position or ethnicity in …

Additive models are flexible regression tools that handle linear as well as non-linear terms.
The latter are typically modelled via smoothing splines. Additive mixed models extend …

The health problems of teenagers are closely related to their sports behavior. In order to
understand the relevant factors of teenagers' sports behavior, we use a variety of research …

Automatic detection of Alzheimer's disease using magnetic resonance imaging is a hard
task, due to the complexity and variability of the size, location, texture, and shape of the …

Mixture of hidden Markov models for accelerometer data Page 1 The Annals of Applied
Statistics 2020, Vol. 14, No. 4, 1834–1855 https://doi.org/10.1214/20-AOAS1375 © Institute …

The automatic recognition and classification of Alzheimer disease utilizing magnetic
resonance imaging is a hard task, due to the complexity and variability of the size, location …

Standard multivariate techniques like Principal Component Analysis (PCA) are based on the
eigendecomposition of a matrix and therefore require complete data sets. Recent …

Accelerometers are commonly used in human medical and public health research to
measure physical movement, which is relevant in a wide range of studies, from physical …