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pro vyhledávání: '"Ammous, Sinda"'
A new multivariate density estimator for stationary sequences is obtained by Fourier inversion of the thresholded empirical characteristic function. This estimator does not depend on the choice of parameters related to the smoothness of the density;
Externí odkaz:
http://arxiv.org/abs/2305.13572
Autor:
Ammous, Sinda, Bouaziz, Olivier, Dedecker, Anatole, Dedecker, Jérôme, Methni, Jonathan El, Mellouk, Mohamed, Muri, Florence
The R package robusTest offers corrected versions of several common tests in bivariate statistics. We point out the limitations of these tests in their classical versions, some of which are well known such as robustness or calibration problems, and p
Externí odkaz:
http://arxiv.org/abs/2211.08784
Publikováno v:
In Journal of Multivariate Analysis September 2024 203
Akademický článek
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Autor:
Ammous, Sinda1 (AUTHOR) sinda.ammous-kharrat@parisdescartes.fr
Publikováno v:
Statistics. Aug2020, Vol. 54 Issue 4, p686-713. 28p.
Autor:
Ammous, Sinda, Bouaziz, Olivier, Dedecker, Jerome, Methni, Jonathan, Mellouk, Mohamed, Muri, Florence
We consider some well known hypothesis tests in bivariate analysis. We emphasize the limitations of these tests, some of them being well known (problems of robustness or calibration), and we propose simple alternatives that can be easily presented to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4047::134b97243f74c37e23ad2dfa3975486a
https://hal.science/hal-02103068v2/file/ModifTestCopie.pdf
https://hal.science/hal-02103068v2/file/ModifTestCopie.pdf
Autor:
Ammous, Sinda
Let (X i , Y i) i∈Z be a stationary sequence of R 2-valued random variables. To test if X 1 and Y 1 are correlated in the sense of Kendall, we propose a robust correction of the usual Kendall test, valid for a large class of dependent sequences. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bb03072dc65e10bb921aa336f7a83ea8
https://hal.archives-ouvertes.fr/hal-02320387/document
https://hal.archives-ouvertes.fr/hal-02320387/document
Autor:
Ammous, Sinda, Bouaziz, Olivier, Dedecker, Jerome, Methni, Jonathan, Mellouk, Mohamed, Muri, florence
We consider some well known hypothesis tests in bivariate analysis. We emphasize the limitations of these tests, some of them being well known (problems of robustness or calibration), and we propose simple alternatives that can be easily presented to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1398::d07090baede6cc57451e945e71df8b54
https://hal.archives-ouvertes.fr/hal-02103068/file/ModifTest.pdf
https://hal.archives-ouvertes.fr/hal-02103068/file/ModifTest.pdf