33 citations · 34 across the 3 of their papers we have counts for
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stat.ME2023
Indexing and Partitioning the Spatial Linear Model for Large Data Sets
Jay M. Ver Hoef, Michael Dumelle, Matt Higham +2
We consider four main goals when fitting spatial linear models: 1) estimating covariance parameters, 2) estimating fixed effects, 3) kriging (making point predictions), and 4) bloc…
stat.ME2021★ 33 cited
Bayesian spatio-temporal models for stream networks
Edgar Santos-Fernandez, Jay M. Ver Hoef, Erin E. Peterson +3
Spatio-temporal models are widely used in many research areas including ecology. The recent proliferation of the use of in-situ sensors in streams and rivers supports space-time wa…