3 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
Directional density-based clustering
Paula Saavedra-Nieves, Martín Fernández-Pérez
Density-based clustering methodology has been widely considered in the statistical literature for classifying Euclidean observations. However, this approach has not been contemplat…
Nonparametric estimation of highest density regions for COVID-19
Paula Saavedra-Nieves
Highest density regions refer to level sets containing points of relatively high density. Their estimation from a random sample, generated from the underlying density, allows to de…
Nonparametric estimation of directional highest density regions
Paula Saavedra-Nieves, Rosa María Crujeiras
Reconstruction of sets from a random sample of points intimately related to them is the goal of set estimation theory. Within this context, a particular problem is the one related…
A comparative simulation study of data-driven methods for estimating density level sets
Paula Saavedra-Nieves, Wenceslao González-Manteiga, Alberto Rodríguez-Casal
Density level sets are mainly estimated using one of three methodologies: plug-in, excess mass, or a hybrid approach. The plug-in methods are based on replacing the unknown density…