E-LIB Suche - Ergebnisse für: Girard, Stéphane

1

Reduced-bias estimation of the extreme conditional tail exp..:

Allouche, Michaël ; El Methni, Jonathan ; Girard, Stéphane
Journal of Statistical Planning and Inference. 233 (2024) - p. 106189 , 2024

Link: https://doi.org/10.1016/..

2

Multivariate expectile-based distribution: Properties, Baye..:

Arbel, Julyan ; Girard, Stéphane ; Nguyen, Hien Duy.
Journal of Statistical Planning and Inference. 225 (2023) - p. 146-170 , 2023

Link: https://doi.org/10.1016/..

3

Estimation of extreme quantiles from heavy-tailed distribut..:

Allouche, Michaël ; Girard, Stéphane ; Gobet, Emmanuel
Statistics and Computing. 34 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

4

Reparameterization of extreme value framework for improved ..:

Moins, Théo ; Arbel, Julyan ; Girard, Stéphane.
Computational Statistics & Data Analysis. 187 (2023) - p. 107807 , 2023

Link: https://doi.org/10.1016/..

5

Extreme partial least-squares:

Bousebata, Meryem ; Enjolras, Geoffroy ; Girard, Stéphane
Journal of Multivariate Analysis. 194 (2023) - p. 105101 , 2023

Link: https://doi.org/10.1016/..

6

High and low permeability of human pluripotent stem cell–de..:

Girard, Stéphane D. ; Julien‐Gau, Ingrid ; Molino, Yves...
The FASEB Journal. 37 (2023) 2 - p. , 2023

Link: https://doi.org/10.1096/..

7

Joint Supervised Classification and Reconstruction of Irreg..:

Constantin, Alexandre ; Fauvel, Mathieu ; Girard, Stephane
IEEE Transactions on Geoscience and Remote Sensing. 60 (2022) - p. 1-13 , 2022

Link: https://doi.org/10.1109/..

8

On automatic bias reduction for extreme expectile estimatio:

Girard, Stéphane ; Stupfler, Gilles ; Usseglio-Carleve, Antoine
Statistics and Computing. 32 (2022) 4 - p. , 2022

Link: https://doi.org/10.1007/..

9

Functional estimation of extreme conditional expectiles:

Girard, Stéphane ; Stupfler, Gilles ; Usseglio-Carleve, Antoine
Econometrics and Statistics. 21 (2022) - p. 131-158 , 2022

Link: https://doi.org/10.1016/..

10

Advanced topics in Sliced Inverse Regression:

Girard, Stéphane ; Lorenzo, Hadrien ; Saracco, Jérôme
Journal of Multivariate Analysis. 188 (2022) - p. 104852 , 2022

Link: https://doi.org/10.1016/..

11

Mixture of multivariate Gaussian processes for classificati..:

Constantin, Alexandre ; Fauvel, Mathieu ; Girard, Stéphane
Statistics and Computing. 32 (2022) 5 - p. , 2022

Link: https://doi.org/10.1007/..

12

A refined Weissman estimator for extreme quantiles:

Allouche, Michaël ; El Methni, Jonathan ; Girard, Stéphane
Extremes. 26 (2022) 3 - p. 545-572 , 2022

Link: https://doi.org/10.1007/..

13

A generative model for fBm with deep ReLU neural networks:

Allouche, Michaël ; Girard, Stéphane ; Gobet, Emmanuel
Journal of Complexity. 73 (2022) - p. 101667 , 2022

Link: https://doi.org/10.1016/..

14

Extreme $$L^p$$-quantile Kernel Regression:

, In: Advances in Contemporary Statistics and Econometrics,

Girard, Stéphane ; Stupfler, Gilles ; Usseglio-Carleve, Antoine - p. 197-219 , 2021

Link: https://doi.org/10.1007/..

15

ExpectHill estimation, extreme risk and heavy tails:

Daouia, Abdelaati ; Girard, Stéphane ; Stupfler, Gilles
Journal of Econometrics. 221 (2021) 1 - p. 97-117 , 2021

Link: https://doi.org/10.1016/..