ANR HOUSES

ANR HOUSES

Research project (funded by ANR) on uncertainty management in geostatistical spatial analysis with applications in Geosciences.
Contact: Jeremy Rohmer (BRGM)

Bayesian spatially varying coefficients modeling

Published in Spatial Statistics, 2025

Recommended citation: Idir Mohamed Yacine, Romary Thomas. Efficient bayesian spatially varying coefficients modeling for censored data using the vecchia approximation. Spatial Statistics. Spatial Statistics, 101032, doi:10.1016/j.spasta.2026.101032

Developments of spatially varying coefficients models within the Bayesian framework to deal with uncertainties and with adaptation to handle censored data. Application to HOUSES real case of Toulouse.

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Recommended citation: Idir Mohamed Yacine, Romary Thomas, (2025). Efficient bayesian spatially varying coefficients modeling for censored data using the vecchia approximation. Spatial Statistics. Spatial Statistics, 101032, doi:10.1016/j.spasta.2026.101032