NICDA Research Group
NICDA Research Group
Home
News
Events
People
Publications
Jobs
Contact
Article-Journal
Efficient R-estimation of principal and common principal components
We propose rank-based estimators of principal components, both in the one-sample and, under the assumption of common principal …
M. Hallin
,
D. Paindaveine
,
Thomas Verdebout
Cite
DOI
Fourier methods for smooth distribution function estimation
The limit behavior of the optimal bandwidth sequence for the kernel distribution function estimator is analyzed, in its greatest …
José E. Chacón
,
P. Monfort
,
C. Tenreiro
Cite
DOI
Local powers of optimal one-sample and multi-sample tests for the concentration of Fisher-von Mises-Langevin distributions
One-sample and multi-sample tests on the concentration parameter of Fisher-von Mises-Langevin distributions on (hyper-) spheres have …
C. Ley
,
Thomas Verdebout
Cite
DOI
Multiple break detection in the correlation structure of random variables
Correlations between random variables play an important role in applications, e.g. in financial analysis. More precisely, accurate …
Pedro Galeano
,
D. Wied
Cite
DOI
On the Kaplan–Meier estimator based on ranked set samples
When quantification of all sampling units is expensive but a set of units can be ranked, without formal measurement, ranked set …
Ewa Strzalkowska-Kominiak
,
M. Mahdizadeh
Cite
DOI
Simple optimal tests for circular reflective symmetry about a specified median direction
In this paper we propose optimal tests for circular reflective symmetry about a fixed median direction. The distributions against which …
C. Ley
,
Thomas Verdebout
Cite
DOI
Spatial depth-based classification with functional data
We enlarge the number of available functional depths by introducing the kernelized functional spatial depth (KFSD). KFSD is a …
C. Sguera
,
Pedro Galeano
,
R. E. Lillo
Cite
DOI
Data-based choice of the number of pilot stages for plug-in bandwidth selection
The choice of the bandwidth is a crucial issue for kernel density estimation. Among all the data-dependent methods for choosing the …
José E. Chacón
,
C. Tenreiro
Cite
DOI
Data-driven density derivative estimation, with applications to nonparametric clustering and bump hunting
Important information concerning a multivariate data set, such as clusters and modal regions, is contained in the derivatives of the …
José E. Chacón
,
T. Duong
Cite
DOI
Empirical copulas for consecutive survival data
In the analysis of medical data the whole lifetime is often split into pieces characterizing the various stages in the development of a …
Ewa Strzalkowska-Kominiak
,
W. Stute
Cite
DOI
«
»
Cite
×