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stat.ME2025
Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model
Xingche Guo, Yehua Li, Tailen Hsing
High-dimensional functional data have become increasingly prevalent in modern applications such as high-frequency financial data and neuroimaging data analysis. We investigate a cl…
stat.ME2024
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…
stat.ME2024
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-val…