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math.ST2022
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
Yichen Zhu, Michele Peruzzi, Cheng Li +1
In geostatistical problems with massive sample size, Gaussian processes can be approximated using sparse directed acyclic graphs to achieve scalable computational complexity…
stat.ME2022★ 5 cited
Spatial meshing for general Bayesian multivariate models
Michele Peruzzi, David B. Dunson
Quantifying spatial and/or temporal associations in multivariate geolocated data of different types is achievable via spatial random effects in a Bayesian hierarchical model, but s…