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An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regression

High-dimensional linear regression model is the most popular statistical model for high-dimensional data, but it is quite a challenging task to achieve a sparse set of regression coefficients. In this paper, we propose a simple heuristic algorithm to construct sparse high-dimensional linear regressi...

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Detalles Bibliográficos
Autores principales: Yu, Xue, Sun, Yifan, Zhou, Hai-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674299/
https://www.ncbi.nlm.nih.gov/pubmed/34911986
http://dx.doi.org/10.1038/s41598-021-03323-7