Nonstationary Spatial Process Models with Spatially Varying Covariance KernelsIn revision A big computational and methodological endavor towards nonstationary spatial modeling
Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation 2021, in Computational Statistics and Data Analysis a paper with a few MCMC tricks, some of which are great, other useless
MCMC algorithms and hierarchical architectures for spatial modeling using Nearest Neighbor Gaussian Processes 2021 My glorious PhD manuscript
Sequential process to choose efficient sampling design based on partial prior information data and simulations 2020, in Spatial Statistics Honestly, I just lent a hand on this one !