References in zbMATH (referenced in 22 articles )

Showing results 1 to 20 of 22.
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  1. Elliott, Corrine F.; Lambert, Joshua W.; Stromberg, Arnold J.; Wang, Pei; Zeng, Ting; Thompson, Katherine L.: Feasibility as a mechanism for model identification and validation (2021)
  2. Ertefaie, Ashkan; McKay, James R.; Oslin, David; Strawderman, Robert L.: Robust Q-learning (2021)
  3. Jeong, Himchan; Chang, Hyunwoong; Valdez, Emiliano A.: A non-convex regularization approach for stable estimation of loss development factors (2021)
  4. Staerk, Christian; Kateri, Maria; Ntzoufras, Ioannis: High-dimensional variable selection via low-dimensional adaptive learning (2021)
  5. Wang, Qing; Cai, Xizhen: An efficient variance estimator for cross-validation under partition sampling (2021)
  6. Canhong Wen, Aijun Zhang, Shijie Quan, Xueqin Wang: BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox Proportional Hazards Models (2020) not zbMATH
  7. Marc Hofmann, Cristian Gatu, Erricos J. Kontoghiorghes, Ana Colubi, Achim Zeileis: lmSubsets: Exact Variable-Subset Selection in Linear Regression for R (2020) not zbMATH
  8. Park, Young Woong; Klabjan, Diego: Subset selection for multiple linear regression via optimization (2020)
  9. Sage, Andrew J.; Genschel, Ulrike; Nettleton, Dan: Tree aggregation for random forest class probability estimation (2020)
  10. van Erp, Sara; Oberski, Daniel L.; Mulder, Joris: Shrinkage priors for Bayesian penalized regression (2019)
  11. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  12. Garth Tarr; Samuel Müller; Alan Welsh: mplot: An R Package for Graphical Model Stability and Variable Selection Procedures (2018) not zbMATH
  13. Canhong Wen, Aijun Zhang, Shijie Quan, Xueqin Wang: BeSS: An R Package for Best Subset Selection in Linear, Logistic and CoxPH Models (2017) arXiv
  14. Láruson, Áki J.; Reed, Floyd A.: Stability of underdominant genetic polymorphisms in population networks (2016)
  15. Ugarte, María Dolores; Militino, Ana F.; Arnholt, Alan T.: Probability and statistics with R (2016)
  16. Zhang, Tao; Cavanaugh, Joseph E.: A multistage algorithm for best-subset model selection based on the Kullback-Leibler discrepancy (2016)
  17. Schlittgen, Rainer: Regression analyses with R (2013)
  18. Hay-Jahans, Christopher: An R companion to linear statistical models. (2012)
  19. Reiss, Philip T.; Huang, Lei; Cavanaugh, Joseph E.; Roy, Amy Krain: Resampling-based information criteria for best-subset regression (2012)
  20. Alfons, Andreas; Baaske, Wolfgang E.; Filzmoser, Peter; Mader, Wolfgang; Wieser, Roland: Robust variable selection with application to quality of life research (2011)

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