References in zbMATH (referenced in 18 articles )

Showing results 1 to 18 of 18.
Sorted by year (citations)

  1. Zhang, Chun-Xia; Xu, Shuang; Zhang, Jiang-She: A novel variational Bayesian method for variable selection in logistic regression models (2019)
  2. Aduenko, Alexander A.; Motrenko, Anastasia P.; Strijov, Vadim V.: Object selection in credit scoring using covariance matrix of parameters estimations (2018)
  3. Bergtold, Jason S.; Pokharel, Krishna P.; Featherstone, Allen M.; Mo, Lijia: On the examination of the reliability of statistical software for estimating regression models with discrete dependent variables (2018)
  4. Heinze, Georg; Wallisch, Christine; Dunkler, Daniela: Variable selection -- a review and recommendations for the practicing statistician (2018)
  5. Özkale, M. Revan; Lemeshow, Stanley; Sturdivant, Rodney: Logistic regression diagnostics in ridge regression (2018)
  6. Tan, Linda S. L.; Nott, David J.: Gaussian variational approximation with sparse precision matrices (2018)
  7. Wang, HaiYing; Zhu, Rong; Ma, Ping: Optimal subsampling for large sample logistic regression (2018)
  8. Yuan, Miao; Tang, Cheng Yong; Hong, Yili; Yang, Jian: Disentangling and assessing uncertainties in multiperiod corporate default risk predictions (2018)
  9. Bertsimas, Dimitris; King, Angela: Logistic regression: from art to science (2017)
  10. Conversano, Claudio; Dusseldorp, Elise: Modeling threshold interaction effects through the logistic classification trunk (2017)
  11. Miyata, Yoichi: Laplace approximations and Bayesian information criteria in possibly misspecified models (2017)
  12. Yau, Chun Yip; Hui, Tsz Shing: LARS-type algorithm for group Lasso (2017)
  13. Doraiswamy, Srikrishna; Criscione, John C.; Srinivasa, Arun R.: A technique for the classification of tissues by combining mechanics based models with Bayesian inference (2016)
  14. Luo, Sirong; Kong, Xiao; Nie, Tingting: Spline based survival model for credit risk modeling (2016)
  15. Sato, Toshiki; Takano, Yuichi; Miyashiro, Ryuhei; Yoshise, Akiko: Feature subset selection for logistic regression via mixed integer optimization (2016)
  16. Li, Tianxi; Gao, Chao; Xu, Meng; Rajaratnam, Bala: Detecting the impact area of BP deepwater horizon oil discharge: an analysis by time varying coefficient logistic models and boosted trees (2014)
  17. Tan, Linda S. L.; Nott, David J.: A stochastic variational framework for fitting and diagnosing generalized linear mixed models (2014)
  18. Hosmer, David W. jun.; Lemeshow, Stanley; Sturdivant, Rodney X.: Applied logistic regression (2013)