A Bayesian Approach to Multicollinearity and the Simultaneous Selection and Clustering of Predictors in Linear Regression

S. McKay Curtisa amp; Sujit K. Ghoshb

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A Bayesian Approach to Multicollinearity and the Simultaneous Selection and Clustering of Predictors in Linear Regression

机译：多重共线性的贝叶斯方法以及线性回归中预测变量的同时选择和聚类

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《Journal of Statistical Theory and Practice》 |2011年第4期|p.715-735|共21页
作者
S. McKay Curtisa amp; Sujit K. Ghoshb;
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a University of Washington, Division of General Internal Medicine, Box 359780, Seattle, WA, 98104, USA b North Carolina State University, Department of Statistics, 5216 SAS Hall, Raleigh, NC, 27695â8203, USA;

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1. A Bayesian Approach to Multicollinearity and the Simultaneous Selection and Clustering ofPredictors in Linear Regression [J] . S. McKay Curtis, Sujit K. Ghosh Journal of statistical theory and practice . 2011,第4期

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2. Subset selection in multiple linear regression in the presence of outlier and multicollinearity [J] . Nileshkumar H.Jadhav, Dattatraya N. Kashid, Subhash R. Kulkarni Statistical Methodology . 2014,第JULa期

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3. Diagnosing and correcting the effects of multicollinearity: Bayesian implications of ridge regression [J] . Assaf A. George, Tsionas Mike, Tasiopoulos Anastasios Tourism management . 2019,第APRa期

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4. A Robust Ridge Regression Approach in the Presence of Both Multicollinearity and Outliers in the Data [C] . Nurul Sima Mohamad Shariff, Nur Aqilah Ferdaos National Symposium on Mathematical Sciences . 2017

机译：在数据中存在多色性和异常值的存在中强大的脊回归方法
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. Simultaneous regression shrinkage variable selection and clustering of predictors with OSCAR [O] . Howard D. Bondell, Brian J. Reich -1

机译：同时使用OSCAR进行收缩收缩变量选择和预测变量聚类
7. Outlier Detection and Multicollinearity in Sequential Variable Selection: A Least Angle Regression-Based Approach [O] . Kirtland Kelly Meredith 2017

机译：序列变量选择中的离群值检测和多重共线性：基于最小角度回归的方法

A Bayesian Approach to Multicollinearity and the Simultaneous Selection and Clustering of Predictors in Linear Regression

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