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Nonparametric multiple regression estimation for circular response
(2021)
Nonparametric estimators of a regression function with circular response and -valued predictor are considered in this work. Local polynomial estimators are proposed and studied. Expressions for the asymptotic conditional ...
Estimating Lengths-Of-Stay of Hospitalized COVID-19 Patients Using a Non-parametric Model: A Case Study in Galicia (Spain)
(Cambridge University Press, 2021)
[Abstract] Estimating the lengths-of-stay (LoS) of hospitalised COVID-19 patients is key for predicting the hospital beds’ demand and planning mitigation strategies, as overwhelming the healthcare systems has critical ...
Bagging cross-validated bandwidths with application to big data
(2021)
Hall & Robinson (2009) proposed and analysed the use of bagged cross-validation to choose the band-width of a kernel density estimator. They established that bagging greatly reduces the noise inherent in ordinary ...
Nonparametric estimation of circular trend surfaces with application to wave directions
(2021)
In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the data measurements. An important issue in ocean wave analysis is the study of height and direction ...
A computational validation for nonparametric assessment of spatial trends
(2021)
The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation collected by the trend of the process, and the small-scale variation. Parametric trend ...
Selection model for domains across time: application to labour force survey by economic activities
(Springer Nature, 2021-03)
[Abstract]: This paper introduces a small area estimation approach that borrows strength across domains (areas) and time and is efficiently used to obtain labour force estimators by economic activity. Specifically, the ...
F4: An All-Purpose Tool for Multivariate Time Series Classification
(MDPI, 2021)
[Abstract] We propose Fast Forest of Flexible Features (F4), a novel approach for classifying multivariate time series, which is aimed to discriminate between underlying generating processes. This goal has barely been ...
A Product-Limit Estimator of the Conditional Survival Function When Cure Status Is Partially Known
(Wiley, 2021-03-01)
[Abstract] We introduce a nonparametric estimator of the conditional survival function in the mixture cure model for right-censored data when cure status is partially known. The estimator is developed for the setting of a ...