On functional logistic regression: some conceptual issues
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DOI: 10.1007/s11749-022-00836-9
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- Lindquist, Martin A. & McKeague, Ian W., 2009. "Logistic Regression With Brownian-Like Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1575-1585.
- Cramer,J. S., 2011.
"Logit Models from Economics and Other Fields,"
Cambridge Books,
Cambridge University Press, number 9780521188036, October.
- Cramer,J. S., 2003. "Logit Models from Economics and Other Fields," Cambridge Books, Cambridge University Press, number 9780521815888, October.
- José R. Berrendero & Antonio Cuevas & José L. Torrecilla, 2018. "On the Use of Reproducing Kernel Hilbert Spaces in Functional Classification," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1210-1218, July.
- Gareth M. James, 2002. "Generalized linear models with functional predictors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 411-432, August.
- Mousavi, Seyed Nourollah & Sørensen, Helle, 2017. "Multinomial functional regression with wavelets and LASSO penalization," Econometrics and Statistics, Elsevier, vol. 1(C), pages 150-166.
- Shin, Hyejin & Hsing, Tailen, 2012. "Linear prediction in functional data analysis," Stochastic Processes and their Applications, Elsevier, vol. 122(11), pages 3680-3700.
- Gourieroux, Christian & Monfort, Alain, 1981. "Asymptotic properties of the maximum likelihood estimator in dichotomous logit models," Journal of Econometrics, Elsevier, vol. 17(1), pages 83-97, September.
- Febrero-Bande, Manuel & de la Fuente, Manuel Oviedo, 2012. "Statistical Computing in Functional Data Analysis: The R Package fda.usc," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 51(i04).
- Amparo Baíllo & Antonio Cuevas & Juan Antonio Cuesta‐Albertos, 2011. "Supervised Classification for a Family of Gaussian Functional Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 38(3), pages 480-498, September.
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Keywords
Functional data; Logistic regression; Reproducing kernel Hilbert spaces; Kernel methods in statistics;All these keywords.
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