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

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1112.2502
  4. Cited By
Estimation and variable selection for generalized additive partial
  linear models

Estimation and variable selection for generalized additive partial linear models

Annals of Statistics (Ann. Stat.), 2011
12 December 2011
Li Wang
Xiang Liu
Hua Liang
R. Carroll
ArXiv (abs)PDFHTML

Papers citing "Estimation and variable selection for generalized additive partial linear models"

7 / 7 papers shown
Generalized Sparse Additive Model with Unknown Link Function
Generalized Sparse Additive Model with Unknown Link FunctionIndustrial Conference on Data Mining (IDM), 2024
Peipei Yuan
Xinge You
Hao Chen
Xuelin Zhang
Qinmu Peng
433
2
0
08 Oct 2024
Functional L-Optimality Subsampling for Massive Data
Functional L-Optimality Subsampling for Massive Data
Hua Liu
Jinhong You
Jiguo Cao
306
4
0
08 Apr 2021
Bayes Factor Asymptotics for Variable Selection in the Gaussian Process
  Framework
Bayes Factor Asymptotics for Variable Selection in the Gaussian Process Framework
Minerva Mukhopadhyay
S. Bhattacharya
266
1
0
23 Oct 2018
Variable selection in Functional Additive Regression Models
Variable selection in Functional Additive Regression Models
M. Febrero-Bande
W. González-Manteiga
M. D. L. Fuente
191
28
0
02 Jan 2018
Partially linear additive quantile regression in ultra-high dimension
Partially linear additive quantile regression in ultra-high dimension
Ben Sherwood
Lan Wang
349
127
0
22 Jan 2016
Estimation and model selection in generalized additive partial linear
  models for correlated data with diverging number of covariates
Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates
Li Wang
L. Xue
Annie Qu
Hua Liang
172
71
0
23 May 2014
Finding Important Genes from High-Dimensional Data: An Appraisal of
  Statistical Tests and Machine-Learning Approaches
Finding Important Genes from High-Dimensional Data: An Appraisal of Statistical Tests and Machine-Learning Approaches
Chamont Wang
J. Gevertz
Chaur-Chin Chen
Leonardo Auslender
260
1
0
30 May 2012
1
Page 1 of 1