Ph.D., Statistics, Swiss Federal Institute of Technology (EPFL), Lausanne, 1996
M.Sc., Applied Mathematics Teaching, Swiss Federal Institute of Technology (EPFL), Lausanne, 1994
B.Sc., Engineer in Applied Mathematics, Swiss Federal Institute of Technology (EPFL), Lausanne, 1992
Professor Genton's main research interests concern statistical analysis, visualization, modeling, prediction, and uncertainty quantification of spatio-temporal data, with applications in environmental and climate science, renewable energies such as wind and solar power, geophysics, and marine science. His research activities also include skewed multivariate non-Gaussian distributions and robust statistics.
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Genton, M. G., Keyes, D., and Turkiyyah, G. (2018), "Hierarchical decompositions for the computation of high-dimensional multivariate normal probabilities," Journal of Computational and Graphical Statistics, in press.
Jeong, J., Jun, M. and Genton, M. G. (2017), "Spherical process models for global spatial statistics," Statistical Science, 32, 301-513.
Xu, G., and Genton, M. G. (2017) "Tukey g-and-h random fields," Journal of the American Statistical Association, 112, 1236-1249.
Genton, M. G. and Hall, P. (2016), "A tilting approach to ranking influence," Journal of the Royal Statistical Society Series B, 78, 77-97.
Sun, Y., and Genton, M. G. (2011), "Functional boxplots," Journal of Computational and Graphical Statistics, 20, 316-334.
Publications list on ORCID
Also view list of Publications on KAUST Repository