Sure independence screening in ultrahigh dimensional generalized additive models

Guangren Yang; Weixin Yao; Sijia Xiang

doi:10.1016/j.jspi.2018.04.004

ScienceGate Book Chapters

JOURNAL ARTICLE

Sure independence screening in ultrahigh dimensional generalized additive models

Guangren Yang Weixin Yao Sijia Xiang

Year: 2018 Journal: Journal of Statistical Planning and Inference Vol: 199 Pages: 126-135 Publisher: Elsevier BV

DOI: 10.1016/j.jspi.2018.04.004

Get Full-Text PDF Get Analytical Report

Keywords:

Curse of dimensionality Mathematics Covariate Independence (probability theory) Multivariate statistics Nonparametric statistics Generalized additive model Monte Carlo method Feature (linguistics) Binary number Applied mathematics Econometrics Statistics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.07

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Sure independence screening in ultrahigh dimensional generalized additive models

Metrics

Topics

Related Documents

Sure Independence Screening for Ultrahigh-Dimensional Additive Model with Multivariate Response

ExSIS: Extended sure independence screening for ultrahigh-dimensional linear models

Robust sure independence screening for nonpolynomial dimensional generalized linear models

Sure Independence Screening for Ultrahigh Dimensional Feature Space

Robust sure independence screening for ultrahigh dimensional non-normal data