A functional-data approach to the Argo data D Yarger, S Stoev, T Hsing The Annals of Applied Statistics 16 (1), 216-246, 2022 | 13 | 2022 |
A multivariate functional-data mixture model for spatio-temporal data: inference and cokriging M Korte-Stapff, D Yarger, S Stoev, T Hsing arXiv preprint arXiv:2211.04012, 2022 | 4 | 2022 |
Elastic functional changepoint detection of climate impacts from localized sources JD Tucker, D Yarger Environmetrics 35 (1), e2826, 2024 | 1 | 2024 |
Multivariate Matérn models - A spectral approach D Yarger, S Stoev, T Hsing arXiv preprint arXiv:2309.02584, 2023 | 1 | 2023 |
A probabilistic model of ocean floats under ice D Hansen, D Yarger arXiv preprint arXiv:2210.00118, 2022 | 1 | 2022 |
Autocalibration of the E3SM version 2 atmosphere model using a PCA‐based surrogate for spatial fields D Yarger, BM Wagman, K Chowdhary, L Shand Journal of Advances in Modeling Earth Systems 16 (4), e2023MS003961, 2024 | | 2024 |
On valid multivariate generalizations of the Confluent Hypergeometric covariance function D Yarger, A Bhadra arXiv preprint arXiv:2312.05682, 2023 | | 2023 |
Detecting changepoints in globally-indexed functional time series D Yarger, JD Tucker arXiv preprint arXiv:2308.05915, 2023 | | 2023 |
Statistical approaches for spatially-dependent functional data and their application in oceanography D Yarger | | 2022 |