SCAD-penalized regression in high-dimensional partially linear models

31 March 2009

Papers citing "SCAD-penalized regression in high-dimensional partially linear models"

22 / 22 papers shown

Title
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables Silvia Novo Germán Aneiros P. Vieu 18 12 0 26 Jan 2024
Stab-GKnock: Controlled variable selection for partially linear models using generalized knockoffs Han Su Panxu Yuan Qingyang Sun Mengxi Yi Gaorong Li 27 0 0 27 Nov 2023
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization Mateo Dulce Rubio Siqi Zeng Qi Wang Didier Alvarado Francisco Moreno Hoda Heidari Fei Fang 27 2 0 06 Nov 2023
Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection T. Ghosh Michael Kirby Karim Karimov 17 0 0 07 Jun 2023
Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder T. Ghosh Michael Kirby 34 0 0 07 Jun 2023
Simultaneous Inference of a Partially Linear Model in Time Series Jiaqi Li Likai Chen Kun-Ho Kim Tianwei Zhou 19 1 0 19 Dec 2022
Jackknife Partially Linear Model Averaging for the Conditional Quantile Prediction Jing Lv 6 0 0 19 Mar 2022
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection T. Ghosh Michael Kirby 20 0 0 30 Jan 2022
Support Recovery with Stochastic Gates: Theory and Application for Linear Models Soham Jana Henry Li Yutaro Yamada Ofir Lindenbaum 18 5 0 29 Oct 2021
Root-finding Approaches for Computing Conformal Prediction Set Eugène Ndiaye Ichiro Takeuchi 19 10 0 14 Apr 2021
Bootstrap prediction intervals with asymptotic conditional validity and unconditional guarantees Yunyi Zhang D. Politis 6 8 0 19 May 2020
A Survey of Tuning Parameter Selection for High-dimensional Regression Y. Wu Lan Wang 39 35 0 10 Aug 2019
Spectral Analysis of High-dimensional Time Series M. Fiecas Chenlei Leng Weidong Liu Yi Yu AI4TS 19 30 0 26 Oct 2018
Scalable Algorithms for the Sparse Ridge Regression Weijun Xie Xinwei Deng 15 10 0 11 Jun 2018
High Dimensional Inference in Partially Linear Models Ying Zhu Zhuqing Yu Guang Cheng 26 12 0 08 Aug 2017
Minimax Optimal Estimation in Partially Linear Additive Models under High Dimension Zhuqing Yu M. Levine Guang Cheng 34 5 0 18 Dec 2016
Bayesian Variable Selection Under High-dimensional Settings With Grouped Covariates Pranay Agarwal S. Dutta Minerva Mukhopadhyay 91 0 0 20 Sep 2016
Partially linear additive quantile regression in ultra-high dimension Ben Sherwood Lan Wang 16 110 0 22 Jan 2016
Sparse Partially Linear Additive Models Yin Lou Jacob Bien R. Caruana J. Gehrke 31 57 0 17 Jul 2014
On b-bit min-wise hashing for large-scale regression and classification with sparse data Rajen Dinesh Shah N. Meinshausen 68 6 0 06 Aug 2013
Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection Jelena Bradic Jianqing Fan Weiwei Wang 63 193 0 28 Dec 2009
High-dimensional generalized linear models and the lasso Sara van de Geer 189 750 0 04 Apr 2008