449 citations · 986 across the 29 of their papers we have counts for
6 papers · 1 filter
Covariance Models for Multivariate Random Fields resulting from Pseudo Cross-Variograms
Christopher Dörr, Martin Schlather
So far, the pseudo cross-variogram is primarily used as a tool for the structural analysis of multivariate random fields. Mainly applying recent theoretical results on the pseudo c…
Characterization Theorems for Pseudo-Variograms
Christopher Dörr, Martin Schlather
Pseudo-variograms appear naturally in the context of multivariate Brown-Resnick processes, and are a useful tool for analysis and prediction of multivariate random fields. We give…
Comparative evaluation of point process forecasts
Jonas Brehmer, Tilmann Gneiting, Marcus Herrmann +3
Stochastic models of point patterns in space and time are widely used to issue forecasts or assess risk, and often they affect societally relevant decisions. We adapt the concept o…
Sampling Sup-Normalized Spectral Functions for Brown-Resnick Processes
Marco Oesting, Martin Schlather, Claudia Schillings
Sup-normalized spectral functions form building blocks of max-stable and Pareto processes and therefore play an important role in modeling spatial extremes. For one of the most pop…
An exceptional max-stable process fully parameterized by its extremal coefficients
Kirstin Strokorb, Martin Schlather
The extremal coefficient function (ECF) of a max-stable process on some index set assigns to each finite subset the effective number of independent random vari…
Some covariance models based on normal scale mixtures
Martin Schlather
Modelling spatio-temporal processes has become an important issue in current research. Since Gaussian processes are essentially determined by their second order structure, broad cl…