References in zbMATH (referenced in 140 articles , 1 standard article )

Showing results 1 to 20 of 140.
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  1. Dang, Utkarsh J.; Punzo, Antonio; McNicholas, Paul D.; Ingrassia, Salvatore; Browne, Ryan P.: Multivariate response and parsimony for Gaussian cluster-weighted models (2017)
  2. Fuchs, Nicole; Pölz, Werner; Bathke, Arne C.: Confidence intervals for population means of partially paired observations (2017)
  3. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  4. Islam, Shofiqul; Anand, Sonia; Hamid, Jemila; Thabane, Lehana; Beyene, Joseph: Comparing the performance of linear and nonlinear principal components in the context of high-dimensional genomic data integration (2017)
  5. Pariya Behrouzi, Ernst C. Wit: netgwas: An R Package for Network-Based Genome-Wide Association Studies (2017) arXiv
  6. Pedersen, Morten Gram; Tagliavini, Alessia; Cortese, Giuliana; Riz, Michela; Montefusco, Francesco: Recent advances in mathematical modeling and statistical analysis of exocytosis in endocrine cells (2017)
  7. Rodríguez-Avi, José; Olmo-Jiménez, María José: A regression model for overdispersed data without too many zeros (2017)
  8. Seigal, Anna; Mira, Portia; Sturmfels, Bernd; Barlow, Miriam: Does antibiotic resistance evolve in hospitals? (2017)
  9. Virta, Joni; Li, Bing; Nordhausen, Klaus; Oja, Hannu: Independent component analysis for tensor-valued data (2017)
  10. Alashwali, Fatimah; Kent, John T.: The use of a common location measure in the invariant coordinate selection and projection pursuit (2016)
  11. Azzalini, Adelchi; Browne, Ryan P.; Genton, Marc G.; McNicholas, Paul D.: On nomenclature for, and the relative merits of, two formulations of skew distributions (2016)
  12. Azzalini, Adelchi; Menardi, Giovanna: Density-based clustering with non-continuous data (2016)
  13. Bayerstadler, Andreas; van Dijk, Linda; Winter, Fabian: Bayesian multinomial latent variable modeling for fraud and abuse detection in health insurance (2016)
  14. Dudley, R.M.: Reminiscences, and some explorations about the bootstrap (2016)
  15. Dümbgen, Lutz; Nordhausen, Klaus; Schuhmacher, Heike: New algorithms for $M$-estimation of multivariate scatter and location (2016)
  16. Faraway, Julian J.: Does data splitting improve prediction? (2016)
  17. Faraway, Julian J.: Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (2016)
  18. Gagnon, Jacob; Liang, Hua; Liu, Anna: Spherical radial approximation for nested mixed effects models (2016)
  19. Irvine, Kathryn M.; Rodhouse, T.J.; Keren, Ilai N.: Extending ordinal regression with a latent zero-augmented beta distribution (2016)
  20. Kang, Lulu; Joseph, V.Roshan: Kernel approximation: from regression to interpolation (2016)

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