132 citations · 343 across the 32 of their papers we have counts for
4 papers · 1 filter
Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes
François Bachoc, José Bétancourt, Reinhard Furrer +1
The asymptotic analysis of covariance parameter estimation of Gaussian processes has been subject to intensive investigation. However, this asymptotic analysis is very scarce for n…
Additive Bayesian Network Modelling with the R Package abn
Gilles Kratzer, Fraser Iain Lewis, Arianna Comin +2
The R package abn is designed to fit additive Bayesian models to observational datasets. It contains routines to score Bayesian networks based on Bayesian or information theoretic…
Combining Heterogeneous Spatial Datasets with Process-based Spatial Fusion Models: A Unifying Framework
Craig Wang, Reinhard Furrer
In modern spatial statistics, the structure of data that is collected has become more heterogeneous. Depending on the type of spatial data, different modeling strategies for spatia…
Is a single unique Bayesian network enough to accurately represent your data?
Gilles Kratzer, Reinhard Furrer
Bayesian network (BN) modelling is extensively used in systems epidemiology. Usually it consists in selecting and reporting the best-fitting structure conditional to the data. A ma…