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Number of documents

10

Matthieu Saumard


Journal articles3 documents

  • Matthieu Saumard, Marwa Elbouz, Michael Aron, Ayman Alfalou, Christian Brosseau. Enhancing Optical Correlation Decision Performance for Face Recognition by Using a Nonparametric Kernel Smoothing Classification. Sensors, MDPI, 2019, 19 (23), pp.5092. ⟨10.3390/s19235092⟩. ⟨hal-02696449⟩
  • Sylvain Robbiano, Matthieu Saumard, Michel Curé. Improving prediction performance of stellar parameters using functional models. Journal of Applied Statistics, Taylor & Francis (Routledge), 2016, 43 (8), pp.1465-1476. ⟨10.1080/02664763.2015.1106448⟩. ⟨hal-02696647⟩
  • Valentin Patilea, Cesar Sanchez-Sellero, Matthieu Saumard. Testing the Predictor Effect on a Functional Response. Journal of the American Statistical Association, Taylor & Francis, 2016, 111 (516), pp.1684-1695. ⟨10.1080/01621459.2015.1110031⟩. ⟨hal-02991023⟩

Conference papers2 documents

  • Matthieu Saumard, Marwa Elbouz, Michael Aron, Ayman Alfalou. Nonparametric kernel smoothing classification to enhance optical correlation decision performances. Pattern Recognition and Tracking XXX, Apr 2019, Baltimore, France. pp.11, ⟨10.1117/12.2518840⟩. ⟨hal-02696742⟩
  • Matthieu Saumard, Valentin Patilea. Estimation dans un modèle défini par des équations estimantes conditionnelles pour des données fonctionnelles. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494816⟩

Book sections2 documents

Preprints, Working Papers, ...2 documents

  • Valentin Patilea, Cesar Sanchez-Sellero, Matthieu Saumard. Nonparametric testing for no-effect with functional responses and functional covariates. 2012. ⟨hal-00771261⟩
  • Valentin Patilea, Cesar Sanchez-Sellero, Matthieu Saumard. Projection-based nonparametric goodness-of-fit testing with functional covariates. 2012. ⟨hal-00708329⟩

Theses1 document