References in zbMATH (referenced in 204 articles , 1 standard article )

Showing results 1 to 20 of 204.
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  1. Braga, Altemir da Silva; Cordeiro, Gauss M.; Ortega, Edwin M. M.; Silva, Giovana O.; Vasconcelos, Julio C. S.: A random-effects regression model based on the odd log-logistic skew normal distribution (2022)
  2. Vasconcelos, J. C. S.; Cordeiro, G. M.; Ortega, E. M. M.: The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data (2022)
  3. Wiemann, Paul F. V.; Klein, Nadja; Kneib, Thomas: Correcting for sample selection bias in Bayesian distributional regression models (2022)
  4. Aeberhard, William H.; Cantoni, Eva; Marra, Giampiero; Radice, Rosalba: Robust fitting for generalized additive models for location, scale and shape (2021)
  5. Barriga, Gladys D. C.; Suzuki, Adriano K.; Cancho, Vicente G.; Louzada, Francisco: A new class of cure rate survival models: properties, inference and applications (2021)
  6. Bee, M.; Hambuckers, J.; Trapin, L.: Estimating large losses in insurance analytics and operational risk using the g-and-h distribution (2021)
  7. Capezza, Christian; Palumbo, Biagio; Goude, Yannig; Wood, Simon N.; Fasiolo, Matteo: Additive stacking for disaggregate electricity demand forecasting (2021)
  8. Gómez, Yolanda M.; Gallardo, Diego I.; de Castro, Mário: A regression model for positive data based on the slashed half-normal distribution (2021)
  9. Klein, Nadja; Carlan, Manuel; Kneib, Thomas; Lang, Stefan; Wagner, Helga: Bayesian effect selection in structured additive distributional regression models (2021)
  10. Klein, Nadja; Nott, David J.; Smith, Michael Stanley: Marginally calibrated deep distributional regression (2021)
  11. Lambert, Philippe: Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data (2021)
  12. Lemonte, Artur J.: A parametric regression framework for the skew sinh-arcsinh (t) distribution (2021)
  13. Maruotti, Antonello; Petrella, Lea; Sposito, Luca: Hidden semi-Markov-switching quantile regression for time series (2021)
  14. Perperoglou, Aris; Huebner, Marianne: Quantile foliation for modelling performance across body mass and age in olympic weightlifting (2021)
  15. Philips, Cody R.; Garrett, Robert C.; Tatro, Alan J.; Fisher, Thomas J.: An analysis of crash-safety ratings and the true assessment of injuries by vehicle (2021)
  16. Silva, Ana R. S.; Azevedo, Caio L. N.; Bazán, Jorge L.; Nobre, Juvêncio S.: Augmented-limited regression models with an application to the study of the risk perceived using continuous scales (2021)
  17. Souza Vasconcelos, Julio Cezar; Villegas, Cristian: Generalized symmetrical partial linear model (2021)
  18. Stöcker, Almond; Brockhaus, Sarah; Schaffer, Sophia Anna; von Bronk, Benedikt; Opitz, Madeleine; Greven, Sonja: Boosting functional response models for location, scale and shape with an application to bacterial competition (2021)
  19. Ulrich, Matthias; Jahnke, Hermann; Langrock, Roland; Pesch, Robert; Senge, Robin: Distributional regression for demand forecasting in e-grocery (2021)
  20. Umlauf, N., Klein, N., Simon, T., Zeileis, A: bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) (2021) not zbMATH

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