Penalized Lq-likelihood estimator and its influence function in generalized linear models

Asymptotic properties of parametric estimators (62F12) Ridge regression; shrinkage estimators (Lasso) (62J07) Generalized linear models (logistic models) (62J12)

Cites Work

Sure independence screening in generalized linear models with NP-dimensionality
The Adaptive Lasso and Its Oracle Properties
Testing against a high-dimensional alternative in the generalized linear model: asymptotic type I error control
Sparse and robust normal and \(t\)-portfolios by penalized \(L_q\)-likelihood minimization
Marginal empirical likelihood and sure independence feature screening
Penalized maximum likelihood estimation and variable selection in geostatistics
Penalized likelihood-type estimators for generalized nonparametric regression
Bridge estimation for generalized linear models with a diverging number of parameters
Adaptive group Lasso for high-dimensional generalized linear models
Weighted Lasso estimates for sparse logistic regression: non-asymptotic properties with measurement errors
Variable selection for sparse logistic regression
Maximum L\(q\)-likelihood estimation
High-dimensional generalized linear models and the lasso
Adaptive Lasso estimators for ultrahigh dimensional generalized linear models
Convergence and sparsity of Lasso and group Lasso in high-dimensional generalized linear models
The asymptotic properties of SCAD penalized generalized linear models with adaptive designs
Large sample properties of the smoothly clipped absolute deviation penalized maximum likelihood estimation on high dimensions
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Sure Independence Screening for Ultrahigh Dimensional Feature Space
Penalized Lq-likelihood estimators and variable selection in linear regression models
Comments on «Wavelets in statistics: A review» by A. Antoniadis
Tests for High Dimensional Generalized Linear Models

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