Babos, Stephen and Artemiou, Andreas  ORCID: https://orcid.org/0000-0002-7501-4090
2021.
Cumulative median estimation for sufficient dimension reduction.
Stats
4
(1)
, pp. 138-145.
10.3390/stats4010011
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Official URL: http://dx.doi.org/10.3390/stats4010011
Abstract
In this paper we present the Cumulative Median Estimation (CUMed) algorithm for robust sufficient dimension reduction. Compared with non-robust competitors, this algorithm performs better when there are outliers present in the data and comparably when outliers are not present. This is demonstrated in simulated and real data experiments.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Professional Services > Advanced Research Computing @ Cardiff (ARCCA) Schools > Mathematics |
| Subjects: | Q Science > QA Mathematics |
| Additional Information: | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
| Publisher: | MDPI |
| ISSN: | 2571-905X |
| Date of First Compliant Deposit: | 19 February 2021 |
| Date of Acceptance: | 14 February 2021 |
| Last Modified: | 01 Aug 2024 10:13 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/138598 |
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