Oesting, M., M. Schlather, and P. Friedrichs, 2017. Statistical post-processing of forecasts for extremes using biivariate Brown-Resnick processes with an application to wind gusts. Extremes, 20, 309 - 332, DOI: 10.1007/s10687-016-0277-x.
Olinda, R. A., J. Blanchet, C. A. C. dos Santos, V. A. Ozaki, and P. J. Ribeiro, 2014. Spatial extremes modeling applied to extreme precipitation data in the state of Paraná. Hydrol. Earth Syst. Sci. Discuss., 11, 12731 - 12764, DOI: 10.5194/hessd-11-12731-2014.
Oliver, E. C. J., S. J. Wotherspoon, and N. J. Holbrook, 2014. Estimating extremes from global ocean and climate models: A Bayesian hiearchical model approach. Progress in Oceanography, 122, 77 - 91, DOI: 10.1016/j.pocean.2013.12.004.
Opitz, T., 2013. Extremal t processes: Elliptical domain of attraction and a spectral representation. J. Multivar. Anal., 122, 409 - 413, DOI: 10.1016/j.jmva.2013.08.008.
Opitz, T., R. Huser, H. Bakka, and H. Rue, 2018. INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles. Extremes, 21 (3), 441 - 462, DOI: 10.1007/s10687-018-0324-x