References in zbMATH (referenced in 58 articles )

Showing results 1 to 20 of 58.
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  1. Burke, K.; MacKenzie, G.: Multi-parameter regression survival modeling: an alternative to proportional hazards (2017)
  2. Wood, Simon N.: Generalized additive models. An introduction with R. (2017)
  3. Barreto-Souza, Wagner; Simas, Alexandre B.: General mixed Poisson regression models with varying dispersion (2016)
  4. Heinzl, Felix; Tutz, Gerhard: Additive mixed models with approximate Dirichlet process mixtures: the EM approach (2016)
  5. Hofner, Benjamin; Kneib, Thomas; Hothorn, Torsten: A unified framework of constrained regression (2016)
  6. Klein, Nadja; Kneib, Thomas: Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach (2016)
  7. Relvas, Carlos Eduardo M.; Paula, Gilberto A.: Partially linear models with first-order autoregressive symmetric errors (2016)
  8. Tong, Edward N.C.; Mues, Christophe; Brown, Iain; Thomas, Lyn C.: Exposure at default models with and without the credit conversion factor (2016)
  9. Wanke, Peter; Ewbank, Henrique; Leiva, Víctor; Rojas, Fernando: Inventory management for new products with triangularly distributed demand and lead-time (2016)
  10. Westgate, Bradford S.; Woodard, Dawn B.; Matteson, David S.; Henderson, Shane G.: Large-network travel time distribution estimation for ambulances (2016)
  11. Alizadeh, Morad; Cordeiro, Gauss M.; de Brito, Edleide; Demétrio, Clarice Garcia B.: The beta Marshall-Olkin family of distributions (2015)
  12. Eilers, Paul H.C.; Marx, Brian D.; Durbán, Maria: Twenty years of P-splines (invited article) (2015)
  13. Naranjo, L.; Pérez, C.J.; Martín, J.: Bayesian analysis of some models that use the asymmetric exponential power distribution (2015)
  14. Sperlich, Stefan; Theler, Raoul: Modeling heterogeneity: a praise for varying-coefficient models in causal analysis (2015)
  15. Vanegas, Luis Hernando; Paula, Gilberto A.: A semiparametric approach for joint modeling of median and skewness (2015)
  16. Benjamin Hofner, Andreas Mayr, Matthias Schmid: gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework (2014) arXiv
  17. Charalambous, Christiana; Pan, Jianxin; Tranmer, Mark: Variable selection in joint mean and dispersion models via double penalized likelihood (2014)
  18. Geraci, Marco; Bottai, Matteo: Linear quantile mixed models (2014)
  19. Guolo, Annamaria; Varin, Cristiano: Beta regression for time series analysis of bounded data, with application to Canada $\mathrmGoogle^\circledR$ Flu Trends (2014)
  20. Klein, Nadja; Denuit, Michel; Lang, Stefan; Kneib, Thomas: Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape (2014)

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