Rejoinder on:: Inference and computation with Generalized Additive Models and their extensions

• Simon N. Wood ^[1]
  1. [1] University of Bristol

     University of Bristol

     Reino Unido

     
• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 29, Nº. 2, 2020, págs. 354-358
• Idioma: inglés
• DOI: 10.1007/s11749-020-00716-0
• Texto completo no disponible (Saber más ...)
• Referencias bibliográficas
  • Fasiolo M, Nedellec R, Goude Y, Wood SN (2019) Scalable visualization methods for modern generalized additive models. J Comput Graph Stat,...
  • Hastie T, Tibshirani R (1990) Generalized additive models. Chapman & Hall, London
  • Marra G, Wood SN (2012) Coverage properties of confidence intervals for generalized additive model components. Scand J Stat 39(1):53–74
  • Nychka D (1988) Bayesian confidence intervals for smoothing splines. J Am Stat Assoc 83(404):1134–1143
  • Parker R, Rice J (1985) Discussion of silverman. J R Stat Soc Ser B 47(1):40–42
  • Pya N, Wood SN (2015) Shape constrained additive models. Stat Comput 25(3):543–559
  • Sriram K, Ramamoorthi R, Ghosh P et al (2013) Posterior consistency of bayesian quantile regression based on the misspecified asymmetric laplace...
  • Wahba G (1980) Spline bases, regularization, and generalized cross validation for solving approximation problems with large quantities of...
  • Whitehead J (1980) Fitting Cox’s regression model to survival data using GLIM. Appl Stat 29(3):268–275
  • Wood SN (2017) Generalized additive models: an introduction with R, 2nd edn. CRC Press, Boca Raton
  • Wood SN, Pya N, Säfken B (2016) Smoothing parameter and model selection for general smooth models (with discussion). J Am Stat Assoc 111:1548–1575