Marc G. Genton

Distinguished Professor, Applied Mathematics and Computational Science
Computer, Electrical and Mathematical Science and Engineering Division

Spatio-Temporal Statistics & Data Analysis


Education Profile

  • ​​​​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

Research Interests

​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.

Selected Publications

  • ​Genton, M. G., Johnson, C., Potter, K., Stenchikov, G., and Sun, Y. (2014), "Surface boxplots,"​ Stat, 3, 1-11.
  • Kleiber, W., and Genton, M. G. (2013), "Spatially varying cross-correlation coefficients in the presence of nugget effects," Biometrika, 100, 213-220.
  • Li, B., and Genton, M. G. (2013), "Nonparametric identification of copula structures," Journal of the American Statistical Association, 108, 666-675.
  • Zhu, X., and Genton, M. G. (2012), "Short-term wind speed forecasting for power system operations," International Statistical Review, 80, 2-23.
  • Sun, Y., and Genton, M. G. (2011), "Functional boxplots," Journal of Computational and Graphical Statistics, 20, 316-334.