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Jannis Kueck
Jannis Kueck
Adresse e-mail validée de uni-hamburg.de - Page d'accueil
Titre
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Année
High-Dimensional Boosting: Rate of Convergence
Y Luo, M Spindler, J Kueck
arXiv preprint arXiv:1602.08927, 2016
302016
Uniform inference in high-dimensional gaussian graphical models
S Klaassen, J Kück, M Spindler, V Chernozhukov
Biometrika, 2022
7*2022
Transformation models in high-dimensions
S Klaassen, J Kueck, M Spindler
Journal of Business & Economic Statistics, 2021
7*2021
Estimation and inference of treatment effects with L2-boosting in high-dimensional settings
J Kueck, Y Luo, M Spindler, Z Wang
Journal of Econometrics, 2022
52022
Uniform inference in high-dimensional generalized additive models
P Bach, S Klaassen, J Kueck, M Spindler
arXiv preprint arXiv:2004.01623, 2020
42020
Using Double Machine Learning to Understand Nonresponse in the Recruitment of a Mixed-Mode Online Panel
B Felderer, J Kueck, M Spindler
Social Science Computer Review, 08944393221095194, 2022
2022
Testing the identification of causal effects in observational data
M Huber, J Kueck
arXiv preprint arXiv:2203.15890, 2022
2022
Testing the identification of causal effects in data
M Huber, J Kueck
arXiv preprint arXiv:2203.15890, 2022
2022
Big Data meets Causal Survey Research: Understanding Nonresponse in the Recruitment of a Mixed-mode Online Panel
B Felderer, J Kueck, M Spindler
arXiv preprint arXiv:2102.08994, 2021
2021
Advances in Machine Learning: Valid Inference about High-Dimensional Parameters
JM Kück
Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020
2020
SUPPLEMENTARY MATERIAL FOR “TRANSFORMATION MODELS IN HIGH-DIMENSIONS”
S Klaassen, J Kück, M Spindler
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