寻找关键驱动因素的贝叶斯敏感性特异性和ROC分析

Q3 Mathematics Journal of Modern Applied Statistical Methods Pub Date : 2021-08-31 DOI:10.22237/jmasm/1619481960

S. Lipovetsky, Michael Conklin

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引用次数: 4

摘要

建议通过贝叶斯灵敏度特异性和接收器操作特性来寻找回归建模中的关键驱动因素，并获得了可解释的结果。与其他技术的数值比较表明，该方法可用于实际的统计建模和分析，有助于研究人员和管理人员做出有意义的决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bayesian Sensitivity-Specificity and ROC Analysis for Finding Key Drivers

Finding key drivers in regression modeling via Bayesian Sensitivity-Specificity and Receiver Operating Characteristic is suggested, and clearly interpretable results are obtained. Numerical comparisons with other techniques show that this methodology can be useful in practical statistical modeling and analysis helping to researchers and managers in making meaningful decisions.

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来源期刊

Journal of Modern Applied Statistical Methods STATISTICS & PROBABILITY-

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.