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

• Paul Eilers ^[1]
  1. [1] Erasmus University Medical Centre, Rotterdam, The Netherlands
• 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. 340-342
• Idioma: inglés
• DOI: 10.1007/s11749-020-00715-1
• Texto completo no disponible (Saber más ...)
• Referencias bibliográficas
  • Bollaerts K, Eilers PHC, van Mechelen I (2006) Simple and multiple P-splines regression with shape constraints. Br J Math Stat Psychol 59:451–469
  • Eilers PHC, Marx BD (1996) Flexible smoothing using B-splines and penalties (with comments and rejoinder). Stat Sci 11:89–121
  • Liao X, Meyer MC (2019) cgam: an R package for the constrained generalized additive model. J Stat Softw 89(5):1–24
  • Marx B, Eilers P (1998) Direct generalized additive modeling with penalized likelihood. Comput Stat Data Anal 28:193–209
  • Marx BD, Eilers PHC (1999) Generalized linear regression on sampled signals and curves: a P-spline approach. Technometrics 41:1–13
  • Pya N, Wood SN (2015) Shape constrained additive models. Stat Comput 25:543–559
  • Rodríguez-Álvarez MX, Durbán M, Lee D-J, Eilers PHC (2019) On the estimation of variance parameters in non-standard generalised linear mixed...
  • Whittaker ET (1923) On a new method of graduation. Proc Edinb Math Soc 41:63–75