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A General Framework for Prediction in Generalized Additive Models

Carballo, A. (2020-01-13)

Smoothing techniques have become one of the most popular modelling approaches in the unidimensional and multidimensional setting. However, out-of-sample prediction in the context of smoothing models is still an open problem ...

Modelling species presence–absence in the ecological niche theory framework using shape-constrained generalized additive models

Citores, L.; Ibaibarriaga, L.; Lee, D.-J.

; Brewer, M.J.; Santos, M.; Chust, G. (2020-01-13)

According to ecological niche theory, species response curves are unimodal with respect to environmental gradients. A variety of statistical methods have been developed for species distribution modelling. A general problem ...

Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences

Page, G.L.; Rodríguez-Álvarez, M.X.

; Lee, D.-J.

(2020-01)

Growth curve studies are typically conducted to evaluate differences between group or treatment-specific curves. Most analyses focus solely on the growth curves, but it has been argued that the derivative of growth curves ...

Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy)

Cendoya, M.; Martínez-Minaya, J.

; Dalmau, V.; Ferrer, A.; Saponari, M.; Conesa, D.; López-Quílez, A.; Vicent, A. (2020)

The plant-pathogenic bacterium Xylella fastidiosa was first reported in Europe in 2013, in the province of Lecce, Italy, where extensive areas were affected by the olive quick decline syndrome, caused by the subsp. pauca. ...

Predictive factors over time of health-related quality of life in chronic obstructive pulmonary disease patients

Esteban, C.; Arostegui, I.

; Aramburu, A.; Moraza, J.; Najera-Zuloaga, J.; Aburto, M.; Aizpiri, S.; Chascó, L.; Quintana, J.M. (2020-01)

Background: Health-related quality of life (HRQoL) should be seen as a tool that provides an overall view of the general clinical condition of a COPD patient. The aims of this study were to identify variables associated ...

Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana

Castilla, A.R.; Méndez-Vigo, B.; Marcer, A.; Martínez-Minaya, J.

; Conesa, D.; Picó, F.X.; Alonso-Blanco, A. (2020)

Background: Disentangling the drivers of genetic differentiation is one of the cornerstones in evolution. This is because genetic diversity, and the way in which it is partitioned within and among populations across space, ...

Comparison of Frequentist and Bayesian Meta-Analysis Models for Assessing the Efficacy of Decision Support Systems in Reducing Fungal Disease Incidence

Lázaro, E.; Makowski, D.; Martínez-Minaya, J.

; Vicent, A. (2020)

Diseases of fruit and foliage caused by fungi and oomycetes are generally controlled by the application of fungicides. The use of decision support systems (DSSs) may assist to optimize fungicide programs to enhance application ...

Disease progression of peach powdery mildew in Catalonia, Spain – Towards a decision support system based on degree-days to initiate fungicide spray programs

Marimon, N.; Eduardo, I.; Martínez-Minaya, J.

; Vicent, A.; Luque, J. (2020)

The incidence of peach powdery mildew (PPM) on fruit was monitored in commercial peach orchards to i) describe the disease progress in relation to several environmental parameters and ii) establish an operating threshold ...

A survey of bias in machine learning through the prism of statistical parity

Besse, P.; del Barrio, E.; Gordaliza, P.

; Loubes, J.-M.; Risser, L. (2020)

Applications based on machine learning models have now become an indispensable part of the everyday life and the professional world. As a consequence, a critical question has recently arose among the population: Do algorithmic ...