A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Journal of the Korean Statistical Society Pub Date : 2022-09-20 DOI:10.1007/s42952-022-00192-2

Yuee Shi, C. Ng

引用次数: 0

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具有广义LASSO惩罚的最小绝对偏差的一种新的有源零集下降算法

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来源期刊

Journal of the Korean Statistical Society 数学-统计学与概率论

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： The Journal of the Korean Statistical Society publishes research articles that make original contributions to the theory and methodology of statistics and probability. It also welcomes papers on innovative applications of statistical methodology, as well as papers that give an overview of current topic of statistical research with judgements about promising directions for future work. The journal welcomes contributions from all countries.