Jones, Benjamin  ORCID: https://orcid.org/0000-0002-6058-9692 and Artemiou, Andreas ORCID: https://orcid.org/0000-0002-7501-4090
2021.
Revisiting the predictive potential of Kernel principal components.
Statistics and Probability Letters
171
, 109019.
10.1016/j.spl.2020.109019
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Official URL: http://dx.doi.org/10.1016/j.spl.2020.109019
Abstract
In this short note, recent results on the predictive power of kernel principal component in a regression setting are extended in two ways: (1) in the model-free setting, we relax a conditional independence model assumption to obtain a stronger result; and (2) the model-free setting is also extended in the infinite-dimensional setting.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Mathematics |
| Subjects: | Q Science > QA Mathematics |
| Additional Information: | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
| Publisher: | Elsevier |
| ISSN: | 0167-7152 |
| Funders: | EPSRC |
| Date of First Compliant Deposit: | 7 December 2020 |
| Date of Acceptance: | 5 December 2020 |
| Last Modified: | 18 Jan 2025 22:17 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/136829 |
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