Simultaneous variable selection and outlier identification in linear regression using the mean-shift outlier model

Sung-Soo Kim; Sung H. Park; W.J. Krzanowski

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Simultaneous variable selection and outlier identification in linear regression using the mean-shift outlier model

机译：使用均值漂移离群模型的线性回归中的同时变量选择和离群值识别

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摘要

We provide a method for simultaneous variable selection and outlier identification using the mean-shift outlier model. The procedure consists of two steps: the first step is to identify potential outliers, and the second step is to perform all possible su

机译：我们提供了一种使用均值漂移离群模型进行同时变量选择和离群值识别的方法。该过程包括两个步骤：第一步是确定潜在的异常值，第二步是执行所有可能的

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来源
《Journal of applied statistics》 |2008年第4期|p.283-291|共9页
作者
Sung-Soo Kim; Sung H. Park; W.J. Krzanowski;
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作者单位

Department of Information Statistics, Korea National Open University, Seoul, Korea;

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原文格式 PDF
正文语种 eng
中图分类统计学;
关键词
multiple outliers; variable selection; mean-shift outlier model; all-subset regressions;

机译：多个离群值;变量选择;均值离群离群值模型;所有子集回归;

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专利

1. A method for simultaneous variable selection and outlier identification in linear regression [J] . Jennifer Hoeting, Adrian E. Raftery, David Madigan Computational statistics & data analysis . 1996,第3期

机译：线性回归中同时变量选择和离群值识别的方法
2. A diagnostic method for simultaneous feature selection and outlier identification in linear regression [J] . Menjoge R.S., Welsch R.E. Computational statistics & data analysis . 2010,第12期

机译：线性回归中同时特征选择和离群值识别的诊断方法
3. Genetic algorithms for outlier detection and variable selection in linear regression models [J] . Tolvi J Soft computing: A fusion of foundations, methodologies and applications . 2004,第8期

机译：线性回归模型中离群值检测和变量选择的遗传算法
4. Outlier Detection and Robust Variable Selection for Least Angle Regression [C] . Shirin Shahriari, Susana Faria, A. Manuela Goncalves, International conference on computational science and its applications . 2014

机译：最小角度回归的离群值检测和鲁棒变量选择
5. Outlier detection and multicollinearity in sequential variable selection: A least angle regression-based approach. [D] . Kirtland, Kelly Meredith. 2017

机译：顺序变量选择中的异常值检测和多重共线性：基于最小角度回归的方法。
6. Universal Linear Fit Identification: A Method Independent of Data Outliers and Noise Distribution Model and Free of Missing or Removed Data Imputation [O] . K. K. L. B. Adikaram, M. A. Hussein, M. Effenberger, -1

机译：通用线性拟合识别：一种独立于数据离群值和噪声分布模型且无缺失或缺失数据插补的方法
7. A method for simultaneous variable selection and outlier identification in linear regression [O] . Jennifer Hoeting, Adrian E. Raftery, David Madigan 1996

机译：一种线性回归中同时变量选择和异常值识别的方法
8. Multiple Outliers in Linear Regression: Advances in Detection Methods, Robust Estimation, and Variable Selection [R] . Wisnowski, J. W. 1999

机译：线性回归中的多个异常值：检测方法，稳健估计和变量选择的进展

Simultaneous variable selection and outlier identification in linear regression using the mean-shift outlier model

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