7 citations · 13 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…