112 citations · 161 across the 7 of their papers we have counts for
8 papers
Extent of occurrence reconstruction using a new data-driven support estimator
A. Rodríguez-Casal, P. Saavedra-Nieves
Given a random sample of points from some unknown distribution, we propose a new data-driven method for estimating its probability support S. Under the mild assumption that S is r-…
Minimax Hausdorff estimation of density level sets
Alberto Rodríguez-Casal, Paula Saavedra-Nieves
Given a random sample of points from some unknown density, we propose a data-driven method for estimating density level sets under the r-convexity assumption. This shape condition…
Multimode: An R Package for Mode Assessment
Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodríguez-Casal
In several applied fields, multimodality assessment is a crucial task as a previous exploratory tool or for determining the suitability of certain distributions. The goal of this p…
Minimax Estimation of the Volume of a Set with Smooth Boundary
Ery Arias-Castro, Beatriz Pateiro-López, Alberto Rodríguez-Casal
We consider the problem of estimating the volume of a compact domain in a Euclidean space based on a uniform sample from the domain. We assume the domain has a boundary with positi…
A fully data-driven method for estimating density level sets
A. Rodríguez-Casal, P. Saavedra-Nieves
Density level sets can be estimated using plug-in methods, excess mass algorithms or a hybrid of the two previous methodologies. The plug-in algorithms are based on replacing the u…
A fully data-driven method for estimating the shape of a point cloud
Alberto Rodríguez-Casal, Paula Saavedra-Nieves
Given a random sample of points from some unknown distribution, we propose a new data-driven method for estimating its probability support . Under the mild assumption that i…