1. Sparse inverse time correlation model for signal identification in functional Near Infrared Spectroscopy data. April 2021. Channel Network Conference, 2021, Online conference. Slides

  2. Adaptive handling of dependence in high-dimensional regression modeling. November 2020. Invited talk at the Dutch Biometric Conference.

  3. A functional generalized F-test for signal detection with applications to event-related potentials significance analysis. May 2020, Invited talk at Journées de Statistique, Nice.

  4. Functional Analysis of Variance in the Comparison of Curves. November 2019. Invited talk at School of Occupational Therapy, National Taiwan University, Taipei

  5. Ignoring dependence in large-dimensional testing issues: what consequences? July 2018. Channel Network Conference, Rothamsted Research Center, UK.

  6. Handling dependence or not in statistical learning for high-dimensional data. December 2018, Invited Seminar, Department of Statistics, La Sapienza University, Roma, Italy.

  7. Signal identification in ERP data by decorrelated Higher Criticism Thresholding, September 2015, CIBB 2015, Naples, Italy.

  8. Large Scale Mutiple Comparisons in Ranking Studies. Invited Seminar, November 2013. NCKU, Tainan, Taiwan.

  9. Modèles à facteurs parcimonieux pour données à haut débit. Séminaire invité, Mars 2013, Université de Montpellier.

  10. Sparse factor models for high-dimensional interaction networks. Invited talk, May 2013, 7th International Workshop on Simulation, Rimini, Italy.