Model Selection and Estimation in Regression with Grouped Variables
Datos Bibliográficos
| ID | 23383100 |
|---|---|
| Autores | Ming Yuan (0000-0002-8516-392X, Georgia Institute of Technology, autor de correspondencia), Yi Lin (0000-0002-0697-4581, University of Wisconsin–Madison) |
| Año | 2006 |
| Volumen | 68 |
| Número | 1 |
| Páginas | 49-67 |
| Fecha de publicación | 2006-02-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of the Royal Statistical Society Series B: Statistical Methodology (JOURNAL) |
| Identificadores de la revista | ISSN: 1369-7412 • E-ISSN: 1467-9868 |
| Editorial | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1111/j.1467-9868.2005.00532.x |
| OpenAlex | W2138019504 |
| Idioma | EN |
| Citas recibidas | 62 |
| Referencias citadas | 9 |
We consider the problem of selecting grouped variables (factors) for accurate prediction in regression. Such a problem arises naturally in many practical situations with the multifactor analysis-of-variance problem as the most important and well-known example. Instead of selecting factors by stepwise backward elimination, we focus on the accuracy of estimation and consider extensions of the lasso, the LARS algorithm and the non-negative garrotte for factor selection. The lasso, the LARS algorithm and the non-negative garrotte are recently proposed regression methods that can be used to select individual variables. We study and propose efficient algorithms for the extensions of these methods for factor selection and show that these extensions give superior performance to the traditional stepwise backward elimination method in factor selection problems. We study the similarities and the differences between these methods. Simulations and real examples are used to illustrate the methods.
Estimation · Feature selection · Focus (optics) · Lasso (programming language) · Machine learning · Regression · Regression analysis · Selection (genetic algorithm) · Statistics · Stepwise regression · Variance (accounting) · Advanced Statistical Methods and Models · Artificial Intelligence · Computer Science · Control Systems and Identification · Engineering · Mathematics · Statistical Methods and Inference
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| Obras citantes distintas | 62 |
|---|---|
| Citas por año | 4,13 |
| Intervalo de citas | 2011 - 2026 (16) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 59 |