3 papers
stat.AP2020
Modeling and simulating depositional sequences using latent Gaussian random fields
Denis Allard, Paolo Fabbri, Carlo Gaetan
Simulating a depositional (or stratigraphic) sequence conditionally on borehole data is a long-standing problem in hydrogeology and in petroleum geostatistics. This paper presents…
stat.ME2020
Semi-parametric resampling with extremes
Thomas Opitz, Denis Allard, Grégoire Mariéthoz
Nonparametric resampling methods such as Direct Sampling are powerful tools to simulate new datasets preserving important data features such as spatial patterns from observed datas…
stat.CO2019
Simulating space-time random fields with nonseparable Gneiting-type covariance functions
Denis Allard, Xavier Emery, Céline Lacaux +1
Two algorithms are proposed to simulate space-time Gaussian random fields with a covariance function belonging to an extended Gneiting class, the definition of which depends on a c…