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  1. Séminaire MODAL'X : Gauthier Thurin (IMB, Bordeaux)

    Résumé Every attempt to define quantiles for multivariate data face the same issue the lack of a canonical features and numerous applications from statistical testing to quantile regression. On the real line the superquantile

    • Type : Actualité
    • - Mis à jour le 28/02/24

  2. Séminaire MODAL'X : Vincent Rivoirard (CEREMADE, Université Paris Dauphine)

    purpose of this talk is to present a new method for bandwidth selection. This new method is called Penalized compared to other usual bandwidth selection methods for univariate and also multivariate kernel density estimation Penalized Comparison to Ovefitting (PCO) for multivariate density estimation

    • Type : Actualité
    • - Mis à jour le 07/10/21

  3. Séminaire MODAL'X : Camille Frévent (Université de Lille)

    Recent advances for the analysis of spatial functional data

    • Type : Actualité
    • - Mis à jour le 07/01/24

  4. Séminaire MODAL'X : Antoine Marchina (MAP5, Université de Paris)

    talk we will provide new concentration inequalities for suprema of possibly non-centered and unbounded empirical Concentration inequalities for suprema of unbounded empirical processes.

    • Type : Actualité
    • - Mis à jour le 23/03/22

  5. Séminaire MODAL'X : Cristina Olimpia Chavez Chong (Université Paris Nanterre)

    Résumé This work proposes a new method for building an explanatory spatial autoregressive model in a We present new estimation algorithms that allow for the estimation of the regression coefficients as Ridge regularization for spatial autoregressive models with multicollinearity issues

    • Type : Actualité
    • - Mis à jour le 10/06/24

  6. Séminaire MODAL'X : Alessia Rigonat (Inria et Modal'X, Université Paris Nanterre)

    Stochastic averaging for a large system with fast varying environment

    • Type : Actualité
    • - Mis à jour le 14/03/24

  7. Séminaire MODAL'X : Hernando Ombao (KAUST)

    exhibits zero STE is defined making significance testing for STE straightforward through a standard resampling we present a broad range of statistical methods for characterizing dependence in a brain network. We second part of the talk we will discuss methods for characterizing dependence between a pair of communities proposed approach is that it allows adjustments for multiple comparisons to control family-wise error to capture zero boundary point without the need for bias adjustments. With the vine copula representation Overview of Methods for Characterizing Brain Functional Connectivity

    • Type : Actualité
    • - Mis à jour le 20/05/25

  8. table ronde / sopralluogo, on-site survey

    builds a knowledge of the complex places capable of testing dominant prejudices rhetoric or narratives www

    • Type : Actualité
    • - Mis à jour le 27/05/24

  9. ED 138 - Soutenance de Mme Aurélia MOUZET

    romans de Zora Neale Hurston, Sylvia Wynter, Ngugi wa Thiong'o et Pius Ngandu Nkashama".

    • Type : Actualité
    • - Mis à jour le 14/01/21

  10. Alejandra Constanza ANCHEITA PAGAZA

    We must work for a world where we are socially equal humanly different and totally free . Retrouvez

    • Type : Article
    • - Mis à jour le 16/01/20