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stat.ME2021★ 12 cited
Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso
Mitchell Krock, William Kleiber, Dorit Hammerling +1
We propose a new modeling framework for highly-multivariate spatial processes that synthesizes ideas from recent multiscale and spectral approaches with graphical models. The basis…
stat.ME2019★ 1 cited
Penalized basis models for very large spatial datasets
Mitchell Krock, William Kleiber, Stephen Becker
Many modern spatial models express the stochastic variation component as a basis expansion with random coefficients. Low rank models, approximate spectral decompositions, multireso…