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On a new test of fit to the beta distribution
We propose a new $L^2$-type goodness-of-fit test for the family of beta distributions based on a conditional moment characterization. …
Bruno Ebner
,
S. C. Liebenberg
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DOI
On combining the zero bias transform and the empirical characteristic function to test normality
We propose a new powerful family of tests of univariate normality. These tests are based on an initial value problem in the space of …
Bruno Ebner
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DOI
On optimal tests for circular reflective symmetry about an unknown central direction
Symmetry is one of the most fundamental of dividing hypotheses, its rejection, or not, heavily influencing subsequent modeling …
J. Ameijeiras-Alonso
,
C. Ley
,
A. Pewsey
,
Thomas Verdebout
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DOI
Preliminary test estimation in uniformly locally asymptotically normal models
Preliminary test estimation is a methodology that combines goodness-of-fit testing and estimation. It is a classical procedure when it …
D. Paindaveine
,
J. Rasoafaraniaina
,
Thomas Verdebout
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DOI
Probability of default estimation in credit risk using a nonparametric approach
In this paper, four nonparametric estimators of the probability of default in credit risk are proposed and compared. They are derived …
Rebeca Peláez
,
R. Cao
,
J. M. Vilar
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DOI
Recent advances in directional statistics
Mainstream statistical methodology is generally applicable to data observed in Euclidean space. There are, however, numerous contexts …
A. Pewsey
,
Eduardo García-Portugués
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DOI
Rejoinder on: Recent advances in directional statistics
We are most grateful to the five discussants for their enthusiastic response to our review, insightful comments on various aspects of …
A. Pewsey
,
Eduardo García-Portugués
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DOI
Sequential detection of parameter changes in dynamic conditional correlation models
A multivariate monitoring procedure is presented to detect changes in the parameter vector of the dynamic conditional correlation …
K. Pape
,
Pedro Galeano
,
D. Wied
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DOI
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
This paper aims to front with dimensionality reduction in regression setting when the predictors are a mixture of functional variable …
Silvia Novo
,
G. Aneiros
,
P. Vieu
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DOI
Testing for more positive expectation dependence with application to model comparison
Modern data science tools are effective to produce predictions that strongly correlate with responses. Model comparison can therefore …
M. Denuit
,
J. Trufin
,
Thomas Verdebout
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DOI
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