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Rao-Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach

机译：线性和二元回归中贝叶斯变量选择和模型平均的Rao-Blackwell化：一种新的数据增强方法

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Joyee Ghosh Merlise A. Clyde;
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年度 2011
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1. Rao-Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach [J] . Joyee Ghosh, Merlise A. Clyde Journal of the American statistical association . 2011,第495期

机译：用于线性和二元回归的贝叶斯变量选择和模型平均的Rao-Blackwellization：一种新的数据增强方法
2. Methods and Tools for Bayesian Variable Selection and Model Averaging in Normal Linear Regression [J] . Forte Anabel, Garcia-Donato Gonzalo, Steel Mark International statistical review . 2018,第2期

机译：正态线性回归中贝叶斯变量选择和模型平均的方法和工具
3. A novel Bayesian approach for variable selection in linear regression models [J] . Computational statistics & data analysis . 2020,第期

机译：线性回归模型中变量选择的新型贝叶斯方法
4. Variable selection and prediction of clinical outcome with multiply-imputed data via Bayesian model averaging [C] . Guozhi Jiang, Claudia H. T. Tam, Andrea O. Y. Luk, IEEE International Conference on Bioinformatics and Biomedicine . 2016

机译：通过贝叶斯模型平均对变量进行多变量选择和临床结果预测
5. An Information Based Optimal Subdata Selection Algorithm for Big Data Linear Regression and a Suitable Variable Selection Algorithm. [D] . Zheng, Yi. 2017

机译：大数据线性回归的基于信息的最优子数据选择算法和合适的变量选择算法。
6. Identification of Mortality Risks in the Advancement of Old Age: Application of Proportional Hazard Models Based on the Stepwise Variable Selection and the Bayesian Model Averaging Approach [O] . Ewelina Łukaszyk, Katarzyna Bień-Barkowska, Barbara Bień 2021

机译：鉴定老年人晋升中的死亡风险：基于逐步变量选择的比例危险模型和贝叶斯模型平均方法的应用
7. Rao–Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach [O] . Ghosh Joyee, Clyde Merlise A. 100

机译：线性和二进制回归中的贝叶斯变量选择和模型平均的Rao-Blackwellization：一种新的数据增强方法

Rao-Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach

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