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Article Dans Une Revue Journal of Agricultural, Biological, and Environmental Statistics Année : 2021

Discussion on “Competition on Spatial Statistics for Large Datasets”

Denis Allard
Lucia Clarotto
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Thomas Romary

Résumé

We discuss the methods and results of the RESSTE team in the competition on spatial statistics for large datasets. In the first sub-competition, we implemented block approaches both for the estimation of the covariance parameters and for prediction using ordinary kriging. In the second sub-competition, a two-stage procedure was adopted. In the first stage, the marginal distribution is estimated neglecting spatial dependence, either according to the flexible Tuckey g and h distribution or nonparametrically. In the second stage, estimation of the covariance parameters and prediction are performed using Kriging. Vecchias's approximation implemented in the GpGp package proved to be very efficient. We then make some propositions for future competitions.

Dates et versions

hal-03443271 , version 1 (23-11-2021)

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Denis Allard, Lucia Clarotto, Thomas Opitz, Thomas Romary. Discussion on “Competition on Spatial Statistics for Large Datasets”. Journal of Agricultural, Biological, and Environmental Statistics, 2021, 26 (4), pp.604-611. ⟨10.1007/s13253-021-00462-2⟩. ⟨hal-03443271⟩
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