References in zbMATH (referenced in 42 articles , 1 standard article )

Showing results 1 to 20 of 42.
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  1. Chatla, Suneel Babu; Shmueli, Galit: Efficient estimation of COM-Poisson regression and a generalized additive model (2018)
  2. McHale, Ian G.; Relton, Samuel D.: Identifying key players in soccer teams using network analysis and pass difficulty (2018)
  3. Xiao, Luo; Li, Cai; Checkley, William; Crainiceanu, Ciprian: Fast covariance estimation for sparse functional data (2018)
  4. Adriano Zambom and Michael Akritas: NonpModelCheck: An R Package for Nonparametric Lack-of-Fit Testing and Variable Selection (2017)
  5. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv
  6. Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv
  7. Gertheiss, Jan; Goldsmith, Jeff; Staicu, Ana-Maria: A note on modeling sparse exponential-family functional response curves (2017)
  8. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  9. Ivanescu, Andrada E.: Adaptive inference for the bivariate mean function in functional data (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. Pierre-André Cornillon and Nicolas Hengartner and Eric Matzner-Løber: Iterative Bias Reduction Multivariate Smoothing in R: The ibr Package (2017)
  13. Wood, Simon N.: Generalized additive models. An introduction with R. (2017)
  14. Yu, Yan; Wu, Chaojiang; Zhang, Yuankun: Penalised spline estimation for generalised partially linear single-index models (2017)
  15. Cuny, Henri E.; Kiessé, Tristan Senga: On modeling wood formation using parametric and semiparametric regressions for count data (2016)
  16. Helwig, Nathaniel E.: Efficient estimation of variance components in nonparametric mixed-effects models with large samples (2016)
  17. Hofner, Benjamin; Kneib, Thomas; Hothorn, Torsten: A unified framework of constrained regression (2016)
  18. Klein, Nadja; Kneib, Thomas: Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach (2016)
  19. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  20. Simon Wood: Just Another Gibbs Additive Modeler: Interfacing JAGS and mgcv (2016)

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