Statistical significance in high-dimensional linear mixed models
This paper concerns the development of an inferential framework for high-dimensional linear mixed effect models. These are suitable models, for instance, when we have repeated measurements for subjects. We consider a scenario where the number of fixed effects is large (and may be larger than ), but...
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| Published in: | FODS '20 : proceedings of the 2020 ACM-IMS Foundations of Data Science Conference : October 19-20, 2020, Virtual Event, USA. ACM-IMS Foundations of Data Science Conference (2020 : Online) Vol. 2020; p. 171 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
01.10.2020
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| Online Access: | Get more information |
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