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Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates

机译：利用相关协变量的逻辑回归模型中贝叶斯变量选择的EM算法

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M. D. Koslovsky; M. D. Swartz; L. Leon-Novelo; W. Chan; A. V. Wilkinson;
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年度 2017
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1. Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates [J] . Koslovsky M. D., Swartz M. D., Leon-Novelo L., Journal of statistical computation and simulation . 2018,第1a3期

机译：使用EM算法在具有相关协变量的逻辑回归模型中进行贝叶斯变量选择
2. Bayesian Variable Selection For The Cox Regression Model With Missing Covariates [J] . Joseph G. Ibrahim, Ming-Hui Chen, Sungduk Kim Lifetime Data Analysis . 2008,第4期

机译：协变量缺失的Cox回归模型的贝叶斯变量选择
3. Reversible jump Markov chain Monte Carlo algorithms for Bayesian variable selection in logistic mixed models [J] . Pan Jia-Chiun, Lee Mei-Hsien, Tsai Miao-Yu Communications in Statistics . 2018,第8a10期

机译：Logistic混合模型中用于贝叶斯变量选择的可逆跳跃马尔可夫链蒙特卡罗算法。
4. Penalized Estimation based Variable Selection for semiparametric regression Models with Endogenous covariates [C] . Peixin Zhao International Conference on Civil, Materials and Computing Engineering . 2015

机译：基于基于估计的基于变量选择与内源性协变量的变量选择
5. An ordinal logistic regression model with misclassification of the outcome variable and categorical covariate. [D] . Shirkey, Beverly Ann. 2009

机译：具有结果变量和分类协变量分类错误的序数逻辑回归模型。
6. Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates [O] . M. D. Koslovsky, M. D. Swartz, L. Leon-Novelo, -1

机译：使用EM算法在具有相关协变量的逻辑回归模型中进行贝叶斯变量选择
7. MCMC algorithms for Bayesian variable selection in the logistic regression model for large-scale genomic applications [O] . Zucknick, Manuela, Richardson, Sylvia 2014

机译：用于贝叶斯变量选择的mCmC算法大规模基因组应用的回归模型

Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates

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