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20022026
most citedStatistical Modeling of Spatial Extremes

592 citations

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9 papers · 1 filter

stat.ME2025

Goodness of Fit for Bayesian Generative Models with Applications in Population Genetics

Guillaume Le Mailloux, Paul Bastide, Jean-Michel Marin +1

In population genetics and other application fields, models with intractable likelihood are common. Approximate Bayesian Computation (ABC) or more generally Simulation-Based Infere…

stat.ME2014★ 1 cited

Partitioned conditional generalized linear models for categorical data

Jean Peyhardi, Catherine Trottier, Yann Guédon

In categorical data analysis, several regression models have been proposed for hierarchically-structured response variables, e.g. the nested logit model. But they have been formall…

stat.ME2014★ 9 cited

A new specification of generalized linear models for categorical data

Jean Peyhardi, Catherine Trottier, Yann Guédon

Regression models for categorical data are specified in heterogeneous ways. We propose to unify the specification of such models. This allows us to define the family of reference m…

stat.ME2013★ 1 cited

Spline regression for zero-inflated models

T. Opitz, P. Tramini, N. Molinari

We propose a regression model for count data when the classical generalized linear model approach is too rigid due to a high outcome of zero counts and a nonlinear influence of con…

stat.ME2012★ 592 cited

Statistical Modeling of Spatial Extremes

A. C. Davison, S. A. Padoan, M. Ribatet

The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall…

stat.ME2011

Smoothed extreme value estimators of non-uniform point processes boundaries with application to star-shaped supports estimation

Stéphane Girard, Ludovic Menneteau

We address the problem of estimating the edge of a bounded set in R^d given a random set of points drawn from the interior. Our method is based on a transformation of estimators de…