References in zbMATH (referenced in 138 articles , 1 standard article )

Showing results 21 to 40 of 138.
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  1. Schlosser, Lisa; Hothorn, Torsten; Stauffer, Reto; Zeileis, Achim: Distributional regression forests for probabilistic precipitation forecasting in complex terrain (2019)
  2. Stasinopoulos, M. D.; Rigby, R. A.; Heller, G. Z.; De Bastiani, F.: Comments on “Modular regression -- a Lego system for building structured additive distributional regression models with tensor product interactions” (2019)
  3. Choe, Youngjun; Lam, Henry; Byon, Eunshin: Uncertainty quantification of stochastic simulation for black-box computer experiments (2018)
  4. Fumes-Ghantous, Giovana; Ferrari, Silvia L. P.; Corrente, José Eduardo: Box-Cox (t) random intercept model for estimating usual nutrient intake distributions (2018)
  5. Hambuckers, J.; Kneib, T.; Langrock, R.; Silbersdorff, A.: A Markov-switching generalized additive model for compound Poisson processes, with applications to operational loss models (2018)
  6. Hothorn, Torsten; Möst, Lisa; Bühlmann, Peter: Most likely transformations (2018)
  7. Leão, Jeremias; Leiva, Víctor; Saulo, Helton; Tomazella, Vera: A survival model with Birnbaum-Saunders frailty for uncensored and censored cancer data (2018)
  8. Pal, Suvra; Majakwara, Jacob; Balakrishnan, N.: An EM algorithm for the destructive COM-Poisson regression cure rate model (2018)
  9. 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)
  10. 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)
  11. Tzougas, George; Vrontos, Spyridon; Frangos, Nicholas: Bonus-malus systems with two-component mixture models arising from different parametric families (2018)
  12. Wojtyś, Małgorzata; Marra, Giampiero; Radice, Rosalba: Copula based generalized additive models for location, scale and shape with non-random sample selection (2018)
  13. Wyszynski, Karol; Marra, Giampiero: Sample selection models for count data in R (2018)
  14. Andriyana, Y.; Gijbels, I.: Quantile regression in heteroscedastic varying coefficient models (2017)
  15. Burke, K.; MacKenzie, G.: Multi-parameter regression survival modeling: an alternative to proportional hazards (2017)
  16. Cribari-Neto, Francisco; Lucena, Sadraque E. F.: Non-nested hypothesis testing inference for GAMLSS models (2017)
  17. Ferrara, Giancarlo; Vidoli, Francesco: Semiparametric stochastic frontier models: a generalized additive model approach (2017)
  18. Ferrari, Silvia L. P.; Fumes, Giovana: Box-Cox symmetric distributions and applications to nutritional data (2017)
  19. Kuk, Anthony Y. C.: Function compositional adjustments of conditional quantile curves (2017)
  20. Langrock, Roland; Kneib, Thomas; Glennie, Richard; Michelot, Théo: Markov-switching generalized additive models (2017)