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Spatio-temporal adaptive penalized splines with application to Neuroscience
(2016-12-30)
Data analysed here derive from experiments conducted to study neurons' activity in the visual cortex of behaving monkeys. We consider a spatio-temporal adaptive penalized spline (P-spline) approach for modelling the firing ...
Smooth additive mixed models for predicting aboveground biomass
(2016-12-01)
Aboveground biomass estimation in short-rotation forestry plantations is an essential step in the development of crop management strategies as well as allowing the economic viability of the crop to be determined prior to ...
Chronic obstructive pulmonary disease subtypes. transitions over time
(2016-10-30)
Background Although subtypes of chronic obstructive pulmonary disease are recognized, it is unknown what happens to these subtypes over time. Our objectives were to assess the stability of cluster-based subtypes in patients ...
Fast estimation of multidimensional adaptive P-spline models
(2016-10-21)
A fast and stable algorithm for estimating multidimensional adaptive P-spline models is presented. We call it as Separation of Overlapping Penalties (SOP) as it is an extension of the Separation of Anisotropic Penalties ...
Spatial Models for Field Trials
(2016-09-01)
An important aim of the analysis of agricultural field trials is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these corrections turn out to be complicated, since there ...
Modelling latent trends from spatio-temporally grouped data using composite link mixed models
(2016-07)
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions. The aggregation process is done for several reasons: to protect confidential patients' information, to compare with other datasets at a ...
Bootstrap-based procedures for inference in nonparametric ROC regression analysis
(2016-06-30)
Before the use of a diagnostic test in a routine clinical setting, the rigorous evaluation of its diagnostic accuracy is an essential step. The receiver operating characteristic (ROC) curve is the measure of accuracy most ...
Penalized composite link models for aggregated spatial count data: a mixed model approach
(2016-01-01)
Mortality data provide valuable information for the study of the spatial distri- bution of mortality risk, in disciplines such as spatial epidemiology and public health. However, they are frequently available in an aggregated ...