Model Selection for High Dimensional Quadratic Regression via Regularization

31 December 2014

Papers citing "Model Selection for High Dimensional Quadratic Regression via Regularization"

14 / 14 papers shown

Title
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models Xiaorui Zhu Yi Qin Peng Wang 41 0 0 14 Jul 2023
Interaction Pursuit with Feature Screening and Selection Yingying Fan Yinfei Kong Daoji Li Jinchi Lv 39 28 0 28 May 2016
Tuning parameter selection in high dimensional penalized likelihood Yingying Fan C. Tang 45 327 0 11 May 2016
Interaction pursuit in high-dimensional multi-response regression via distance correlation Yinfei Kong Daoji Li Yingying Fan Jinchi Lv 33 58 0 11 May 2016
Asymptotic equivalence of regularization methods in thresholded parameter space Yingying Fan Jinchi Lv 109 54 0 11 May 2016
A Note on High Dimensional Linear Regression with Interactions Ning Hao Hao Helen Zhang 65 35 0 22 Dec 2014
APPLE: Approximate Path for Penalized Likelihood Estimators Yi Yu Yang Feng 71 13 0 02 Nov 2012
A lasso for hierarchical interactions Jacob Bien Jonathan E. Taylor Robert Tibshirani 134 484 0 22 May 2012
A Generic Path Algorithm for Regularized Statistical Estimation Hua Zhou Yichao Wu 130 27 0 17 Jan 2012
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 282 3,543 0 25 Feb 2010
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models Jianqing Fan Yang Feng Rui Song 109 575 0 14 Dec 2009
Non-Concave Penalized Likelihood with NP-Dimensionality Jianqing Fan Jinchi Lv 151 402 0 06 Oct 2009
The composite absolute penalties family for grouped and hierarchical variable selection P. Zhao Guilherme V. Rocha Bin Yu 163 672 0 02 Sep 2009
Pathwise coordinate optimization J. Friedman Trevor Hastie Holger Hofling Robert Tibshirani 190 2,052 0 10 Aug 2007