3 papers
stat.ME2020
On a projection-based class of uniformity tests on the hypersphere
Eduardo García-Portugués, Paula Navarro-Esteban, Juan A. Cuesta-Albertos
We propose a projection-based class of uniformity tests on the hypersphere using statistics that integrate, along all possible directions, the weighted quadratic discrepancy betwee…
stat.ME2020
A Cramér-von Mises test of uniformity on the hypersphere
Eduardo García-Portugués, Paula Navarro-Esteban, Juan A. Cuesta-Albertos
Testing uniformity of a sample supported on the hypersphere is one of the first steps when analysing multivariate data for which only the directions (and not the magnitudes) are of…
stat.ME2020
High-dimensional outlier detection using random projections
P. Navarro-Esteban, J. A. Cuesta-Albertos
There exist multiple methods to detect outliers in multivariate data in the literature, but most of them require to estimate the covariance matrix. The higher the dimension, the mo…