Tuning parameter selection in high dimensional penalized likelihood

11 May 2016

Papers citing "Tuning parameter selection in high dimensional penalized likelihood"

10 / 10 papers shown

Title
Gibbs-Based Information Criteria and the Over-Parameterized Regime Haobo Chen Yuheng Bu Greg Wornell 21 1 0 08 Jun 2023
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations Canhong Wen Ruipeng Dong Xueqin Wang Weiyu Li Heping Zhang 14 0 0 29 Nov 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators Ziyan Yin 25 0 0 13 Jul 2022
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 28 362 0 04 Dec 2020
A Survey of Tuning Parameter Selection for High-dimensional Regression Y. Wu Lan Wang 29 35 0 10 Aug 2019
Tuning parameter selection rules for nuclear norm regularized multivariate linear regression Pan Shang Lingchen Kong 13 1 0 19 Jan 2019
Model selection with lasso-zero: adding straw to the haystack to better find needles Pascaline Descloux S. Sardy 29 10 0 14 May 2018
Dependence Modeling in Ultra High Dimensions with Vine Copulas and the Graphical Lasso D. Müller C. Czado 16 15 0 15 Sep 2017
Forward-Backward Selection with Early Dropping Giorgos Borboudakis Ioannis Tsamardinos 16 95 0 30 May 2017
Model Selection Principles in Misspecified Models Jinchi Lv Jun S. Liu 67 140 0 29 May 2010