Work

Forward variable selection for sparse ultra-high-dimensional generalized varying coefficient models

Year: 2020

Type: article

Source: Japanese Journal of Statistics and Data Science

DOI: 10.1007/s42081-020-00090-z

Authors: Toshio Honda, Chien-Tong Lin

Institutions: Hitotsubashi University, National Tsing Hua University

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: Ministry of Science and Technology, Taiwan, Japan Society for the Promotion of Science

Awards: Studies on statistical inference for ultra-high dimensional semiparametric models, G953189750

OpenAlex ID: W2998883130

FWCI: 0.644

Cites: 32

Cited by: 4

Related to: 10