ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1206.1024
  4. Cited By
Conditional Sure Independence Screening
v1v2 (latest)

Conditional Sure Independence Screening

Journal of the American Statistical Association (JASA), 2012
5 June 2012
Emre Barut
Jianqing Fan
A. Verhasselt
    CML
ArXiv (abs)PDFHTML

Papers citing "Conditional Sure Independence Screening"

12 / 12 papers shown
Title
Best-Subset Selection in Generalized Linear Models: A Fast and
  Consistent Algorithm via Splicing Technique
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique
Junxian Zhu
Jin Zhu
Borui Tang
Xuan-qing Chen
Hongmei Lin
Xueqin Wang
142
5
0
01 Aug 2023
Ranking Inferences Based on the Top Choice of Multiway Comparisons
Ranking Inferences Based on the Top Choice of Multiway ComparisonsJournal of the American Statistical Association (JASA), 2022
Jianqing Fan
Zhipeng Lou
Weichen Wang
Mengxin Yu
324
19
0
22 Nov 2022
Network Gradient Descent Algorithm for Decentralized Federated Learning
Network Gradient Descent Algorithm for Decentralized Federated Learning
Shuyuan Wu
Danyang Huang
Hansheng Wang
FedML
166
13
0
06 May 2022
Are Latent Factor Regression and Sparse Regression Adequate?
Are Latent Factor Regression and Sparse Regression Adequate?Journal of the American Statistical Association (JASA), 2022
Jianqing Fan
Zhipeng Lou
Mengxin Yu
CML
219
39
0
02 Mar 2022
Solar: $L_0$ solution path averaging for fast and accurate variable
  selection in high-dimensional data
Solar: L0L_0L0​ solution path averaging for fast and accurate variable selection in high-dimensional data
Ning Xu
Timothy C. G. Fisher
203
0
0
30 Jul 2020
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning
The Backbone Method for Ultra-High Dimensional Sparse Machine LearningMachine-mediated learning (ML), 2020
Dimitris Bertsimas
V. Digalakis
320
13
0
11 Jun 2020
Robust Sure Independence Screening for Non-polynomial dimensional
  Generalized Linear Models
Robust Sure Independence Screening for Non-polynomial dimensional Generalized Linear ModelsScandinavian Journal of Statistics (Scand. J. Stat.), 2020
A. Ghosh
Erica Ponzi
T. Sandanger
M. Thoresen
262
3
0
25 May 2020
Reluctant Interaction Modeling
Reluctant Interaction Modeling
Guo Yu
Jacob Bien
Robert Tibshirani
379
22
0
19 Jul 2019
Data Markets to support AI for All: Pricing, Valuation and Governance
Data Markets to support AI for All: Pricing, Valuation and Governance
Ramesh Raskar
Praneeth Vepakomma
Tristan Swedish
Aalekh Sharan
TDI
116
16
0
14 May 2019
Likelihood Ratio Test in Multivariate Linear Regression: from Low to
  High Dimension
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension
Yinqiu He
Tiefeng Jiang
Jiyang Wen
Gongjun Xu
258
13
0
17 Dec 2018
Copula-based Partial Correlation Screening: a Joint and Robust Approach
Copula-based Partial Correlation Screening: a Joint and Robust Approach
Xiaochao Xia
Jialiang Li
224
9
0
05 Feb 2018
High-dimensional Ordinary Least-squares Projection for Screening
  Variables
High-dimensional Ordinary Least-squares Projection for Screening Variables
Xiangyu Wang
Chenlei Leng
221
132
0
05 Jun 2015
1