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Published in 2020 at "Metrika"
DOI: 10.1007/s00184-019-00758-x
Abstract: This paper is concerned with feature screening for the ultrahigh dimensional discriminant analysis. A new feature screening procedure based on the conditional quantile is proposed. The proposed procedure has some desirable features. First, it is…
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Keywords:
ultrahigh dimensional;
dimensional discriminant;
screening ultrahigh;
discriminant analysis ... See more keywords
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Published in 2019 at "Journal of the Korean Statistical Society"
DOI: 10.1016/j.jkss.2018.11.003
Abstract: Abstract This paper is concerned with the stable feature screening for the ultrahigh dimensional data. To deal with the ultrahigh dimensional data problem and screen the important features, a set-averaging measurement is proposed. The model…
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Keywords:
screening ultrahigh;
ultrahigh dimensional;
feature screening;
dimensional data ... See more keywords
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Published in 2023 at "Mathematics"
DOI: 10.3390/math11102398
Abstract: Ultrahigh-dimensional grouped data are frequently encountered by biostatisticians working on multi-class categorical problems. To rapidly screen out the null predictors, this paper proposes a quantile-composited feature screening procedure. The new method first transforms the continuous…
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Keywords:
quantile composited;
composited feature;
screening ultrahigh;
feature screening ... See more keywords