7 citations · 13 across the 7 of their papers we have counts for
8 papers
Connecting reflective asymmetries in multivariate spatial and spatio-temporal covariances
Drew Yarger
In the analysis of multivariate spatial and univariate spatio-temporal data, it is commonly recognized that asymmetric dependence may exist, which can be addressed using an asymmet…
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…
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…
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…
Elastic Functional Changepoint Detection of Climate Impacts from Localized Sources
J. Derek Tucker, Drew Yarger
Detecting changepoints in functional data has become an important problem as interest in monitoring of climate phenomenon has increased, where the data is functional in nature. The…
A functional regression model for heterogeneous BioGeoChemical Argo data in the Southern Ocean
Moritz Korte-Stapff, Drew Yarger, Stilian Stoev +1
Leveraging available measurements of our environment can help us understand complex processes. One example is Argo Biogeochemical data, which aims to collect measurements of oxygen…
A probabilistic model of ocean floats under ice
Derek Hansen, Drew Yarger
The Argo project deploys thousands of floats throughout the world's oceans. Carried only by the current, these floats take measurements such as temperature and salinity at depths o…
A functional-data approach to the Argo data
Drew Yarger, Stilian Stoev, Tailen Hsing
The Argo data is a modern oceanography dataset that provides unprecedented global coverage of temperature and salinity measurements in the upper 2,000 meters of depth of the ocean.…