Sparse sufficient dimension reduction for directional regression
Abstract Sufficient dimension reduction has emerged as a powerful tool for extracting meaningful information within high dimensional datasets over the past few decades. These methods aim to reduce the complexity of data by focusing on its most informative components and this allows us to avoid ‘curs...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01219-1 |
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