9 citations · 14 across the 8 of their papers we have counts for
8 papers · 1 filter
Inference post region selection
Dominique Bontemps, François Bachoc, Pierre Neuvial
Post-selection inference consists in providing statistical guarantees, based on a data set, that are robust to a prior model selection step on the same data set. In this paper, we…
Wasserstein Spatial Depth
François Bachoc, Alberto González-Sanz, Jean-Michel Loubes +1
Modeling observations as random distributions embedded within Wasserstein spaces is becoming increasingly popular across scientific fields, as it captures the variability and geome…
Multivariate Gaussian Random Fields over Generalized Product Spaces involving the Hypertorus
François Bachoc, Ana Peron, Emilio Porcu
The paper deals with multivariate Gaussian random fields defined over generalized product spaces that involve the hypertorus. The assumption of Gaussianity implies the finite dimen…
Asymptotically Equivalent Prediction in Multivariate Geostatistics
François Bachoc, Emilio Porcu, Moreno Bevilacqua +2
Cokriging is the common method of spatial interpolation (best linear unbiased prediction) in multivariate geostatistics. While best linear prediction has been well understood in un…
Gaussian linear approximation for the estimation of the Shapley effects
Baptiste Broto, François Bachoc, Marine Depecker +1
In this paper, we address the estimation of the sensitivity indices called "Shapley eects". These sensitivity indices enable to handle dependent input variables. The Shapley eects…
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…