Nonparametric Testing Under Randomized Sketching
A common challenge in nonparametric inference is its high computational complexity when data volume is large. In this paper, we develop computationally efficient nonparametric testing by employing a random projection strategy. In the specific kernel ridge regression setup, a simple distance-based te...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 8 vom: 01. Aug., Seite 4280-4290
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| Auteur principal: |
Liu, Meimei
(Auteur) |
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| Autres auteurs: |
Shang, Zuofeng,
Yang, Yun,
Cheng, Guang |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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