Operator-induced structural variable selection for identifying materials genes

IF 3 1区数学 Q1 STATISTICS & PROBABILITY

Journal of the American Statistical Association Pub Date : 2024-01-23 DOI:10.1080/01621459.2023.2294527

Shengbin Ye, Thomas P. Senftle, Meng Li

引用次数: 0

Abstract

In the emerging field of materials informatics, a fundamental task is to identify physicochemically meaningful descriptors, or materials genes, which are engineered from primary features and a set ...

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操作员诱导的结构变量选择，用于识别材料基因

在新兴的材料信息学领域，一项基本任务是识别具有物理化学意义的描述符或材料基因，这些描述符或基因由主要特征和一组...

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来源期刊

Journal of the American Statistical Association 数学-统计学与概率论

CiteScore

7.50

自引率

8.10%

发文量

168

审稿时长

12 months

期刊介绍： Established in 1888 and published quarterly in March, June, September, and December, the Journal of the American Statistical Association ( JASA ) has long been considered the premier journal of statistical science. Articles focus on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences. Important books contributing to statistical advancement are reviewed in JASA . JASA is indexed in Current Index to Statistics and MathSci Online and reviewed in Mathematical Reviews. JASA is abstracted by Access Company and is indexed and abstracted in the SRM Database of Social Research Methodology.