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Supervised Classification for a Family of Gaussian Functional Models

Author

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  • AMPARO BAÍLLO
  • ANTONIO CUEVAS
  • JUAN ANTONIO CUESTA‐ALBERTOS

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Suggested Citation

  • 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.
    • Handle: RePEc:bla:scjsta:v:38:y:2011:i:3:p:480-498
    DOI: j.1467-9469.2011.00734.x
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    File URL: http://hdl.handle.net/10.1111/j.1467-9469.2011.00734.x
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    Citations

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    Cited by:

    1. Joseph, Esdras & Galeano San Miguel, Pedro & Lillo Rodríguez, Rosa Elvira, 2013. "The Mahalanobis distance for functional data with applications to classification," DES - Working Papers. Statistics and Econometrics. WS ws131312, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. José R. Berrendero & Beatriz Bueno-Larraz & Antonio Cuevas, 2023. "On functional logistic regression: some conceptual issues," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(1), pages 321-349, March.
    3. Blanquero, R. & Carrizosa, E. & Jiménez-Cordero, A. & Martín-Barragán, B., 2019. "Functional-bandwidth kernel for Support Vector Machine with Functional Data: An alternating optimization algorithm," European Journal of Operational Research, Elsevier, vol. 275(1), pages 195-207.
    4. Christophe Denis & Charlotte Dion & Miguel Martinez, 2020. "Consistent procedures for multiclass classification of discrete diffusion paths," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(2), pages 516-554, June.
    5. Gérard Biau & Benoît Cadre & Quentin Paris, 2015. "Cox process functional learning," Statistical Inference for Stochastic Processes, Springer, vol. 18(3), pages 257-277, October.
    6. Flores Díaz, Ramón Jesús & Lillo Rodríguez, Rosa Elvira & Romo, Juan, 2014. "Homogeneity test for functional data based on depth measures," DES - Working Papers. Statistics and Econometrics. WS ws140101, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Peña, Daniel & Prieto, Francisco J. & Rendón, Carolina, 2014. "Independent components techniques based on kurtosis for functional data analysis," DES - Working Papers. Statistics and Econometrics. WS ws141006, Universidad Carlos III de Madrid. Departamento de Estadística.

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