Membres

Travaux récents

• Zgheib, E., Gao, W., Limonciel, A., Aladjov, H., Yang, H., Tebby, C., Gayraud, G., Jennings, P., Sachana, M., Beltman, J.B., Bois, F.Y. (2019). Application of three approaches for quantitative AOP development to renal toxicity. Computational Toxicology, No. 11, 1—13
• Datta, S., Gayraud, G., Leclerc, E., Bois, F.Y. (2017) Graph_sampler : a simple tool for fully Bayesian analyses of DAG-models, Computational Statistics, 32 (2017), No. 2, 691—716.
• Butucea, C., Gayraud, G. (2016), Sharp detection of smooth signals in a high-dimensional sparse matrix with indirect observations, Ann. Inst. H. Poincaré Probab. Statist. "Probabilités & Statistiques", 52, No. 4, 1564—1591
• Bernardi, M., Gayraud, G., Petrella, L. (2015), Bayesian tail risk interdependence using quantile regression, Bayesian Analysis, 10, 553—603
• Bois, F. , Gayraud, G. (2015), Probabilistic generation of random networks taking into account information on motifs occurrence, Journal of Computational Biology, 22, 25—36
• Arbel, J., Gayraud, G., Rousseau, J. (2013), Bayesian optimal adaptive estimation using a sieve prior, Scandinavian Journal of Statistics, 40, 549—570
• Gayraud, G., Ingster, Yu. (2012), Detection of sparse additive functions, Electronic Journal of Statistics, 6, 1409-1448
• Gayraud, G., Tribouley, K. (2011), A goodness-of-fit test for copula densities, Test, 20, 549—573
• Gayraud, G. (2008), To perform the convergence rate of the Bayesian level set estimate ?, Proceedings of Multimodality and Related Topics, Publication de l’Université Paris X-Nanterre.
• Gayraud, G., Rousseau, J. (2007), Consistency results on nonparametric Bayesian estimation of level sets using spatial priors, Test, 16, 90—108
• Gayraud, G., Rousseau, J. (2005), Rates of Convergence for a Bayesian Level set estimation, Scandinavian Journal of Statistics, 32, 639—660
• Gayraud, G., Pouet, Ch. (2005), Adaptive minimax testing in the discrete regression scheme, Probability Theory and Related Fields, 4, 531—558
• Gayraud, G. (2002), Minimax estimation of a discontinuity for the density, Journal of Nonparametric Statistics, 14, 59—66
• Gayraud, G., Tsybakov, A.B. (2002), Testing hypotheses about contours in images, Journal of Nonparametric Statistics, 14, 67—85
• Gayraud, G. (2001), Minimax hypotheses testing about the density support, Bernoulli, 7, 507—526
• Gayraud, G., Pouet, Ch. (2001), Minimax testing composite null hypotheses in the discrete regression scheme, Mathematical Methods of Statistics, 10, 375—394
• Gayraud, G., Tribouley, K. (1999), Adaptive Estimation and Confidence Interval for a Quadratic Functional by Wavelet, Statistic and probability letters, 44, 109—122
• Gayraud, G. (1997), Estimation of functionals of density support, Mathematical Methods of Statistics, 6, 26—47