Les publications du projet PEPER
19/02/2016 - 15:38
Bernard, E., Naveau, P., Vrac, M., & Mestre, O. (2013). Clustering of maxima: Spatial dependencies among heavy rainfall in France. Journal of Climate, 26(20), 7929-7937.
19/02/2016 - 15:36
Sabourin, A., & Naveau, P. (2014). Bayesian dirichlet mixture model for multivariate extremes: A re-parametrization. Computational Statistics & Data Analysis, 71, 542-567.
19/02/2016 - 15:33
Rietsch, T., Naveau, P., Gilardi, N., & Guillou, A. (2013). Network design for heavy rainfall analysis. Journal of Geophysical Research: Atmospheres, 118(23).
19/02/2016 - 15:31
Naveau, P., Toreti, A., Smith, I., & Xoplaki, E. (2014). A fast nonparametric spatio‐temporal regression scheme for generalized Pareto distributed heavy precipitation. Water Resources Research, 50(5), 4011-4017.
19/02/2016 - 15:27
Naveau, P., Guillou, A., & Rietsch, T. (2014). A non‐parametric entropy‐based approach to detect changes in climate extremes. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76(5), 861-884.
16/02/2016 - 17:31
Cooley, D., Davis, R. A., & Naveau, P. (2012). Approximating the conditional density given large observed values via a multivariate extremes framework, with application to environmental data. The Annals of Applied Statistics, 6(4), 1406-1429.
16/02/2016 - 17:23
Sabourin, A., Naveau, P., & Fougeres, A. L. (2013). Bayesian model averaging for multivariate extremes. Extremes, 16(3), 325.
