scholarly journals Robust variable selection in the logistic regression model

2021 ◽  
Author(s):  
Yunlu JIANG ◽  
Zhang JİANTAO ◽  
Huang MEİLAN
Keyword(s):  
Logistic Regression ◽  
Variable Selection ◽  
Regression Model ◽  
Logistic Regression Model

Bayesian Variable Selection for Semiparametric Logistic Regression

2021 ◽  
Vol 26 (5) ◽  
pp. 44-57
Author(s):  
Zainab Sami ◽  
Taha Alshaybawee
Keyword(s):  
Logistic Regression ◽  
Variable Selection ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Numerical Data ◽  
Real Data ◽  
Bayesian Variable Selection ◽  
Bayesian Lasso ◽  
Posterior Inference ◽  
Semiparametric Logistic Regression

Lasso variable selection is an attractive approach to improve the prediction accuracy. Bayesian lasso approach is suggested to estimate and select the important variables for single index logistic regression model. Laplace distribution is set as prior to the coefficients vector and prior to the unknown link function (Gaussian process). A hierarchical Bayesian lasso semiparametric logistic regression model is constructed and MCMC algorithm is adopted for posterior inference. To evaluate the performance of the proposed method BSLLR is through comparing it to three existing methods BLR, BPR and BBQR. Simulation examples and numerical data are to be considered. The results indicate that the proposed method get the smallest bias, SD, MSE and MAE in simulation and real data. The proposed method BSLLR performs better than other methods. 

scholarly journals Variable selection in Logistic regression model with genetic algorithm

2018 ◽  
Vol 6 (3) ◽  
pp. 45-45 ◽  
Author(s):  
Zhongheng Zhang ◽  
Victor Trevino ◽  
Sayed Shahabuddin Hoseini ◽  
Smaranda Belciug ◽  
Arumugam Manivanna Boopathi ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Logistic Regression ◽  
Variable Selection ◽  
Regression Model ◽  
Logistic Regression Model

Variable Selection in Logistic Regression Model

2015 ◽  
Vol 24 (4) ◽  
pp. 813-817 ◽  
Author(s):  
Shangli Zhang ◽  
Ying Lu ◽  
Lili Zhang ◽  
Baigen Cai ◽  
Kuanmin Qiu
Keyword(s):  
Logistic Regression ◽  
Variable Selection ◽  
Regression Model ◽  
Logistic Regression Model
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