Sequential profile Lasso for ultra-high-dimensional partially linear models
In this paper, we study ultra-high-dimensional partially linear models when the dimension of the linear predictors grows exponentially with the sample size. For the variable screening, we propose a sequential profile Lasso method (SPLasso) and show that it possesses the screening property. SPLasso c...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Taylor & Francis Group
2017-07-01
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| Серія: | Statistical Theory and Related Fields |
| Предмети: | |
| Онлайн доступ: | http://dx.doi.org/10.1080/24754269.2017.1396432 |
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