24 citations · 88 across the 17 of their papers we have counts for
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stat.AP2013
Validity of covariance models for the analysis of geographical variation
Gilles Guillot, René Schilling, Emilio Porcu +1
Due to the availability of large molecular data-sets, covariance models are increasingly used to describe the structure of genetic variation as an alternative to more heavily param…
stat.ME2013
Comparing composite likelihood methods based on pairs for spatial Gaussian random fieldsM
Moreno Bevilacqua, Carlo Gaetan
In the last years there has been a growing interest in proposing methods for estimating covariance functions for geostatistical data. Among these, maximum likelihood estimators hav…