• Nonstationary Spatial Process Models with Spatially Varying Covariance Kernels In 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 !