E-LIB Suche - Ergebnisse für: Claeskens, Gerda

1

Parametric programming-based approximate selective inferenc..:

Pirenne, Sarah ; Claeskens, Gerda
Journal of Statistical Computation and Simulation. , 2024

Link: https://doi.org/10.1080/..

2

Uniformly valid inference for partially linear high-dimensi..:

Willems, Pieter ; Claeskens, Gerda
Journal of Statistical Planning and Inference. 229 (2024) - p. 106091 , 2024

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

3

Exact post-selection inference for adjusted R squared selec..:

Pirenne, Sarah ; Claeskens, Gerda
Statistics & Probability Letters. 211 (2024) - p. 110133 , 2024

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

4

Nonparametric estimation of densities on the hypersphere us..:

Alonso‐Pena, María ; Claeskens, Gerda ; Gijbels, Irène
Scandinavian Journal of Statistics. , 2024

Link: https://doi.org/10.1111/..

5

Robust and efficient estimation of nonparametric generalize..:

Kalogridis, Ioannis ; Claeskens, Gerda ; Van Aelst, Stefan
TEST. 32 (2023) 3 - p. 1055-1078 , 2023

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

6

Comments on: Statistical inference and large-scale multiple..:

Claeskens, Gerda ; Jansen, Maarten
TEST. , 2023

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

7

Discussion on: "A Scale-Free Approach for False Discovery R..:

Claeskens, Gerda ; Jansen, Maarten ; Zhou, Jing
Journal of the American Statistical Association. 118 (2023) 543 - p. 1573-1577 , 2023

Link: https://doi.org/10.1080/..

8

Optimal finite sample post-selection confidence distributio..:

Garcia-Angulo, Andrea C. ; Claeskens, Gerda
Journal of Statistical Planning and Inference. 222 (2023) - p. 66-77 , 2023

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

9

Linear Manifold Modeling and Graph Estimation based on Mult..:

Pircalabelu, Eugen ; Claeskens, Gerda
Journal of Computational and Graphical Statistics. 32 (2022) 2 - p. 378-387 , 2022

Link: https://doi.org/10.1080/..

10

Automatic bias correction for testing in high‐dimensional l..:

Zhou, Jing ; Claeskens, Gerda
Statistica Neerlandica. 77 (2022) 1 - p. 71-98 , 2022

Link: https://doi.org/10.1111/..

11

Nonparametric C- and D-vine-based quantile regression:

Tepegjozova, Marija ; Zhou, Jing ; Claeskens, Gerda.
Dependence Modeling. 10 (2022) 1 - p. 1-21 , 2022

Link: https://doi.org/10.1515/..

12

Exact uniformly most powerful postselection confidence dist..:

Garcia‐Angulo, Andrea C. ; Claeskens, Gerda
Scandinavian Journal of Statistics. 50 (2022) 1 - p. 358-382 , 2022

Link: https://doi.org/10.1111/..

13

A hierarchical mixture cure model with unobserved heterogen..:

Dirick, Lore ; Claeskens, Gerda ; Vasnev, Andrey.
Econometrics and Statistics. 22 (2022) - p. 39-55 , 2022

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

14

Fixed Effects Testing in High-Dimensional Linear Mixed Mode..:

Bradic, Jelena ; Claeskens, Gerda ; Gueuning, Thomas
Journal of the American Statistical Association. 115 (2020) 532 - p. 1835-1850 , 2020

Link: https://doi.org/10.1080/..

15

Model Selection via Focused Information Criteria for Comple..:

Claeskens, Gerda ; Cunen, Céline ; Hjort, Nils Lid
Frontiers in Ecology and Evolution. 7 (2019) - p. , 2019

Link: https://doi.org/10.3389/..