References in zbMATH (referenced in 14 articles )

Showing results 1 to 14 of 14.
Sorted by year (citations)

  1. Kim, Sun Hye; Boukouvala, Fani: Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques (2020)
  2. Lowther, Aaron P.; Fearnhead, Paul; Nunes, Matthew A.; Jensen, Kjeld: Semi-automated simultaneous predictor selection for regression-SARIMA models (2020)
  3. Epifanio, Irene; Ibáñez, María Victoria; Simó, Amelia: Archetypal shapes based on landmarks and extension to handle missing data (2018)
  4. Mair, Patrick: Modern psychometrics with R (2018)
  5. Toh, Kar-Ann; Lin, Zhiping; Sun, Lei; Li, Zhengguo: Stretchy binary classification (2018)
  6. Hossain, Ahmed; Khan, Hafiz T. A.: Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components (2016)
  7. Ma, Shaohui; Fildes, Robert; Huang, Tao: Demand forecasting with high dimensional data: the case of SKU retail sales forecasting with intra- and inter-category promotional information (2016)
  8. Shi, Jianhong; Song, Weixing: Sparse principal component analysis with measurement errors (2016)
  9. Shah, Jasmit; Datta, Somnath; Datta, Susmita: A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics (2014)
  10. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  11. Jerome Friedman; Trevor Hastie; Rob Tibshirani: Regularization Paths for Generalized Linear Models via Coordinate Descent (2010) not zbMATH
  12. Schifano, Elizabeth D.; Strawderman, Robert L.; Wells, Martin T.: Majorization-minimization algorithms for nonsmoothly penalized objective functions (2010)
  13. Hesterberg, Tim; Choi, Nam Hee; Meier, Lukas; Fraley, Chris: Least angle and (\ell_1) penalized regression: a review (2008)
  14. Max Kuhn: Building Predictive Models in R Using the caret Package (2008) not zbMATH