References in zbMATH (referenced in 12 articles )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Cunningham, Erica; Ciampi, Antonio; Joober, Ridha; Labbe, Aurélie: Estimating and correcting optimism bias in multivariate PLS regression: application to the study of the association between single nucleotide polymorphisms and multivariate traits in attention deficit hyperactivity disorder (2016)
  2. Shah, Jasmit; Datta, Somnath; Datta, Susmita: A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics (2014)
  3. Blum, M.G.B.; Nunes, M.A.; Prangle, D.; Sisson, S.A.: A comparative review of dimension reduction methods in approximate Bayesian computation (2013)
  4. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  5. Schlittgen, Rainer: Regression analyses with R (2013)
  6. Scutari, Marco; Mackay, Ian; Balding, David: Improving the efficiency of genomic selection (2013)
  7. Cano, Emilio L.; Moguerza, Javier M.; Redchuk, Andrés: Six Sigma with R. Statistical engineering for process improvement. (2012)
  8. Hay-Jahans, Christopher: An R companion to linear statistical models. (2012)
  9. Scherbart, Alexandra; Nattkemper, Tim W.: Looking inside self-organizing map ensembles with resampling and negative correlation learning (2011)
  10. Wehrens, Ron: Chemometrics with R. Multivariate data analysis in the natural sciences and life sciences (2011)
  11. Culp, Mark; Michailidis, George; Johnson, Kjell: On multi-view learning with additive models (2009)
  12. Cao, Kim-Anh L^e; Rossouw, Debra; Robert-Granié, Christèle; Besse, Philippe: A sparse PLS for variable selection when integrating omics data (2008)