| A class of multivariate copulas based on products of bivariate copulas G Mazo, S Girard, F Forbes Journal of Multivariate Analysis 140, 363-376, 2015 | 43 | 2015 |
| A flexible and tractable class of one-factor copulas G Mazo, S Girard, F Forbes Statistics and Computing 26, 965-979, 2016 | 35 | 2016 |
| Inference on extremal dependence in the domain of attraction of a structured Hüsler–Reiss distribution motivated by a Markov tree with latent variables S Asenova, G Mazo, J Segers Extremes 24, 461-500, 2021 | 28 | 2021 |
| Marshall–Olkin type copulas generated by a global shock F Durante, S Girard, G Mazo Journal of Computational and Applied Mathematics 296, 638-648, 2016 | 28 | 2016 |
| Copulas based on Marshall–Olkin machinery F Durante, S Girard, G Mazo Marshall ̶ Olkin Distributions-Advances in Theory and Applications: Bologna …, 2015 | 23 | 2015 |
| SMETHILLIUM: spatial normalization method for Illumina infinium HumanMethylation BeadChip C Sabbah, G Mazo, C Paccard, F Reyal, P Hupé Bioinformatics 27 (12), 1693-1695, 2011 | 19 | 2011 |
| Weighted least-squares inference based on dependence coefficients for multivariate copulas G Mazo, S Girard, F Forbes | 16 | 2014 |
| Considering hazard estimation uncertain in urban resilience strategies B Barroca, P Bernardara, S Girard, G Mazo Natural hazards and earth system sciences 15 (1), 25-34, 2015 | 15 | 2015 |
| A trade-off between explorations and repetitions for estimators of two global sensitivity indices in stochastic models induced by probability measures G Mazo SIAM/ASA Journal on Uncertainty Quantification 9 (4), 1673-1713, 2021 | 9 | 2021 |
| Constraining kernel estimators in semiparametric copula mixture models G Mazo, Y Averyanov Computational Statistics & Data Analysis 138, 170-189, 2019 | 7 | 2019 |
| Construction et estimation de copules en grande dimension G Mazo Université de Grenoble, 2014 | 7 | 2014 |
| A semiparametric and location-shift copula-based mixture model G Mazo Journal of Classification 34, 444-464, 2017 | 6 | 2017 |
| Considering hazard estimation uncertain in urban resilience strategies B Barroca, P Bernardara, S Girard, G Mazo Ecological Resilience, Response to Climate Change and Natural Disasters, 197-220, 2016 | 6 | 2016 |
| Inference on extremal dependence in a latent Markov tree model attracted to a Hüsler-Reiss distribution SK Asenova, G Mazo, J Segers | 5 | 2020 |
| An optimal tradeoff between explorations and repetitions in global sensitivity analysis for stochastic computer models G Mazo Preprint hal-02113448, 2019 | 5 | 2019 |
| Weighted least-squares inference for multivariate copulas based on dependence coefficients G Mazo, S Girard, F Forbes ESAIM: Probability and Statistics 19, 746-765, 2015 | 5 | 2015 |
| A randomized pairwise likelihood method for complex statistical inferences G Mazo, D Karlis, A Rau Journal of the American Statistical Association 119 (547), 2317-2327, 2024 | 4 | 2024 |
| Parametric versus nonparametric: The fitness coefficient G Mazo, F Portier Scandinavian Journal of Statistics 48 (4), 1344-1383, 2021 | 3 | 2021 |
| An inference method for global sensitivity analysis G Mazo, L Tournier Technometrics, 1-31, 2024 | 2 | 2024 |
| The Sobol method in sensitivity analysis for stochastic computer models G Mazo working paper or preprint. Apr. 2019. url: https://hal. science/hal-02113448 …, 2019 | 2 | 2019 |
