TY  - JOUR
AU  - Basu, A.
AU  - Ghosh, A.
AU  - Jaenada Malagón, María
AU  - Pardo Llorente, Leandro
PY  - 2021
UR  - https://hdl.handle.net/20.500.14352/7249
AB  - Penalized logistic regression is extremely useful for binary classiffication with a large number of covariates (significantly higher than the sample size), having several real life applications, including genomic disease classification. However, the...
LA  - eng
KW  - Density power divergence
KW  - High-dimensional data
KW  - Logistic regression
KW  - Oracle properties
KW  - Variable Selection
TI  - Robust adaptive Lasso in high-dimensional logistic regression with an application to genomic classification of cancer patients
TY  - journal article
ER  -