Variable screening with missing covariates: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

Fang Fang; Lyu Ni

doi:10.1080/24754269.2018.1522574

Variable screening with missing covariates: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

Research output: Contribution to journal › Article › peer-review

Abstract

Feature screening with missing data is a critical problem but has not been well addressed in the literature. In this discussion we propose a new screening index based on “information value” and apply it to feature screening with missing covariates.

Original language	English
Pages (from-to)	134-136
Number of pages	3
Journal	Statistical Theory and Related Fields
Volume	2
Issue number	2
DOIs	https://doi.org/10.1080/24754269.2018.1522574
State	Published - 3 Jul 2018

Keywords

Feature screening
missing at random
missing covariates

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10.1080/24754269.2018.1522574

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title = "Variable screening with missing covariates: a discussion of {\textquoteleft}statistical inference for nonignorable missing data problems: a selective review{\textquoteright} by Niansheng Tang and Yuanyuan Ju",

abstract = "Feature screening with missing data is a critical problem but has not been well addressed in the literature. In this discussion we propose a new screening index based on “information value” and apply it to feature screening with missing covariates.",

keywords = "Feature screening, missing at random, missing covariates",

author = "Fang Fang and Lyu Ni",

note = "Publisher Copyright: {\textcopyright} 2018, {\textcopyright} East China Normal University 2018.",

year = "2018",

month = jul,

day = "3",

doi = "10.1080/24754269.2018.1522574",

language = "英语",

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AB - Feature screening with missing data is a critical problem but has not been well addressed in the literature. In this discussion we propose a new screening index based on “information value” and apply it to feature screening with missing covariates.

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DO - 10.1080/24754269.2018.1522574

M3 - 文章

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Variable screening with missing covariates: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

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Keywords

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