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. Submitted

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. Submitted