Quantiles are computed by optimizing an asymmetrically weighted L 1 norm, ie the sum of
absolute values of residuals. Expectiles are obtained in a similar way when using an L 2 norm…

Background Recent advances in genome sequencing technologies have shifted the research
bottleneck in plant sciences from genotyping to phenotyping. This shift has driven the …

Affective states can be inferred from responses to ambiguous and threatening stimuli, using
Judgement Bias Tasks (JBTs) and Attention Bias Tasks (ABTs). We investigated the …

The results of quantile smoothing often show crossing curves, in particular, for small data
sets. We define a surface, called a quantile sheet, on the domain of the independent variable …

Assessment of the impact of variation in chloroplast and mitochondrial DNA (collectively
termed the plasmotype) on plant phenotypes is challenging due to the difficulty in separating …

Wood is a renewable resource that can be employed for the production of second generation
biofuels by enzymatic saccharification and subsequent fermentation. Knowledge on how …

The wealth of a country is assumed to have a strong non-linear influence on the life expectancy
of its inhabitants. We follow up on research by Preston and study the relationship with …

The study of quantitative trait’s expression over time helps to understand developmental
processes which occur in the course of the growing season. Temperature and other …

In quantile smoothing, crossing of the estimated curves is a common nuisance, in particular
with small data sets and dense sets of quantiles. Similar problems arise in expectile …

Judgement bias tasks (JBTs) are used to assess the influence of farm practices on livestock
affective states. The tasks must be adjusted to the species and age group of focus. In cattle, …