Referenzen
| 20. |
Inference for sparse and dense functional data with covariate adjustments
J. Multivariate Anal.,
170:315--335
2019
|
| 19. |
Nonparametric testing for differences in electricity prices: the case of the Fukushima nuclear accident
Ann. Appl. Stat.,
13(2):1128--1146
2019
DOI: 10.1214/18-AOAS1230
|
| 18. |
Parameter regimes in partial functional panel regression
Econom. Stat.,
11:105--115
2019
|
| 17. |
Partially observed functional data: the case of systematically missing parts
Comput. Statist. Data Anal.,
131:104--115
2019
|
| 16. |
Finite sample correction for two-sample inference with sparse covariate adjusted functional data
Working Paper arXiv:1711.03367 (Revise and Resubmit at the Annals of Applied Statistics),
:1--27
2017
|
| 15. |
Functional insights into Google AdWords
Working Paper arXiv:1709.02166,
:1--21
2017
|
| 14. |
Inference for functional data with covariate adjustments: From sparse to dense and everything in-between
Working Paper arXiv:1601.07780 (Revise and Resubmit at the Journal of Multivariate Statistics),
:1--30
2017
|
| 13. |
On the optimal reconstruction of partially observed functional data
Working Paper arXiv:1710.10099,
:1--53
2017
|
| 12. |
Parameter regimes in partial functional panel regression
Working Paper arXiv:1709.05786,
:1--51
2017
|
| 11. |
Parameter regimes in partially functional linear regression for panel data
Functional Statistics and Related Fields,
:261--270
2017
|
| 10. |
Parameter regimes in partially functional linear regression for panel data
Functional statistics and related fields
aus Contrib. Stat.
Seite 261--270.
Herausgeber: Springer, Cham,
2017
|
| 9. |
Ankle plantarflexion strength in rearfoot and forefoot runners: A novel clusteranalytic approach
Human Movement Science,
35:104--120
2014
|