References in zbMATH (referenced in 87 articles , 1 standard article )

Showing results 1 to 20 of 87.
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  1. Hothorn, Torsten; Möst, Lisa; Bühlmann, Peter: Most likely transformations (2018)
  2. Pal, Suvra; Majakwara, Jacob; Balakrishnan, N.: An EM algorithm for the destructive COM-Poisson regression cure rate model (2018)
  3. Ramires, Thiago G.; Hens, Niel; Cordeiro, Gauss M.; Ortega, Edwin M. M.: Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model (2018)
  4. Thomas, Janek; Mayr, Andreas; Bischl, Bernd; Schmid, Matthias; Smith, Adam; Hofner, Benjamin: Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates (2018)
  5. Tzougas, George; Vrontos, Spyridon; Frangos, Nicholas: Bonus-malus systems with two-component mixture models arising from different parametric families (2018)
  6. Burke, K.; MacKenzie, G.: Multi-parameter regression survival modeling: an alternative to proportional hazards (2017)
  7. Ferrara, Giancarlo; Vidoli, Francesco: Semiparametric stochastic frontier models: a generalized additive model approach (2017)
  8. Langrock, Roland; Kneib, Thomas; Glennie, Richard; Michelot, Théo: Markov-switching generalized additive models (2017)
  9. Mamouridis, Valeria; Klein, Nadja; Kneib, Thomas; Cadarso Suarez, Carmen; Maynou, Francesc: Structured additive distributional regression for analysing landings per unit effort in fisheries research (2017)
  10. Marra, Giampiero; Radice, Rosalba: Bivariate copula additive models for location, scale and shape (2017)
  11. Marra, Giampiero; Radice, Rosalba: A joint regression modeling framework for analyzing bivariate binary data in $\mathsfR$ (2017)
  12. Starunova, Olga A.; Rudnev, Sergey G.; Starodubov, Vladimir I.: HCViewer: software and technology for quality control and processing raw mass data of preventive screening (2017)
  13. Vanegas, Luis Hernando; Paula, Gilberto A.: Log-symmetric regression models under the presence of non-informative left- or right-censored observations (2017)
  14. Wood, Simon N.: Generalized additive models. An introduction with R. (2017)
  15. Antoniadis, Anestis; Gijbels, Irène; Lambert-Lacroix, Sophie; Poggi, Jean-Michel: Joint estimation and variable selection for mean and dispersion in proper dispersion models (2016)
  16. Barreto-Souza, Wagner; Simas, Alexandre B.: General mixed Poisson regression models with varying dispersion (2016)
  17. Heinzl, Felix; Tutz, Gerhard: Additive mixed models with approximate Dirichlet process mixtures: the EM approach (2016)
  18. Hofner, Benjamin; Kneib, Thomas; Hothorn, Torsten: A unified framework of constrained regression (2016)
  19. Klein, Nadja; Kneib, Thomas: Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach (2016)
  20. Maruotti, Antonello; Raponi, Valentina; Lagona, Francesco: Handling endogeneity and nonnegativity in correlated random effects models: evidence from ambulatory expenditure (2016)

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