4 papers
Resampling simplicial depth
Carsten Jentsch, Stanislav Nagy, Martin Wendler
The simplicial depth (SD) is a commonly used indicator of the centrality of points with respect to distributions on . Asymptotic theory for the…
Projection depth for functional data: Practical issues, computation and applications
Filip BoÄinec, Stanislav Nagy, Hyemin Yeon
Statistical analysis of functional data is challenging due to their complex patterns, for which functional depth provides an effective means of reflecting their ordering structure.…
Estimating axial symmetry using random projections
Alejandro Cholaquidis, Ricardo Fraiman, Manuel Hernández-Banadik +1
This paper studies the problem of identifying directions of axial symmetry in multivariate distributions. Theoretical results are derived on how the measure or cardinality of the s…
Projection depth for functional data: Theoretical properties
Filip BoÄinec, Stanislav Nagy, Hyemin Yeon
We introduce a novel projection depth for data lying in a general Hilbert space, called the regularized projection depth, with a focus on functional data. By regularizing projectio…