Automatic bias correction for testing in high‐dimensional linear models (English)
- New search for: Zhou, Jing
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- New search for: Zhou, Jing
- New search for: Claeskens, Gerda
In:
Statistica Neerlandica
;
77
, 1
;
71-98
;
2023
- Article (Journal) / Electronic Resource
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Title:Automatic bias correction for testing in high‐dimensional linear models
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Contributors:Zhou, Jing ( author ) / Claeskens, Gerda ( author )
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Published in:Statistica Neerlandica ; 77, 1 ; 71-98
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Publisher:
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Publication date:2023-02-01
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Size:28 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 77, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Issue Information| 2023
- 4
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Threshold estimation for continuous three‐phase polynomial regression models with constant mean in the middle regimeChang, Chih‐Hao / Wong, Kam‐Fai / Lim, Wei‐Yee et al. | 2023
- 48
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Assessing skewness in financial marketsCampisi, Giovanni / La Rocca, Luca / Muzzioli, Silvia et al. | 2023
- 71
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Automatic bias correction for testing in high‐dimensional linear modelsZhou, Jing / Claeskens, Gerda et al. | 2023
- 99
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Usual stochastic ordering of the sample maxima from dependent distribution‐free random variablesFang, Longxiang / Balakrishnan, Narayanaswamy / Huang, Wenyu / Zhang, Shuai et al. | 2023
- 113
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Inverse‐probability‐weighted logrank test for stratified survival data with missing measurementsBen Elouefi, Rim / Saâdaoui, Foued et al. | 2023