7 citations · 13 across the 7 of their papers we have counts for
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stat.ME2023
Multivariate Confluent Hypergeometric Covariance Functions with Simultaneous Flexibility over Smoothness and Tail Decay
Drew Yarger, Anindya Bhadra
Spatially-indexed multivariate data appear frequently in geostatistics and related fields including oceanography and environmental science. To take full advantage of this data stru…
stat.ME2023
Multivariate Matérn Models -- A Spectral Approach
Drew Yarger, Stilian Stoev, Tailen Hsing
The classical Matérn model has been a staple in spatial statistics. Novel data-rich applications in environmental and physical sciences, however, call for new, flexible vector-valu…
stat.AP2023★ 1 cited
Autocalibration of the E3SM version 2 atmosphere model using a PCA-based surrogate for spatial fields
Drew Yarger, Benjamin Wagman, Lyndsay Shand +1
Global Climate Model (GCM) tuning (calibration) is a tedious and time-consuming process, with high-dimensional input and output fields. Experts typically tune by iteratively runnin…