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Which method is more reliable in performing model modification: lasso regularization or lagrange multiplier test?
Structural Equation Modeling: A Multidisciplinary Journal ( IF 2.5 ) Pub Date : 2020-07-09 , DOI: 10.1080/10705511.2020.1768858
Ke-Hai Yuan 1 , Fang Liu 2
Affiliation  

Data-driven model modification plays an important role for a statistical methodology to advance the understanding of subjective matters. However, when the sample size is not sufficiently large mode...

中文翻译:

哪种方法在执行模型修改时更可靠:套索正则化或拉格朗日乘数检验?

数据驱动的模型修改对于统计方法论在促进对主观问题的理解方面发挥着重要作用。但是,当样本量不够大时,模式...
更新日期:2020-07-09
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