Journal of Data Science

Abdulah S, Alamri F, Nag P, Sun Y, Ltaief H, Keyes DE, Genton MG (2022). The second competition on spatial statistics for large datasets. Journal of Data Science, 20(4): 439–460.

Chakraborty A, Katzfuss M (2022). High-dimensional nonlinear spatio-temporal filtering by compressing hierarchical sparse Cholesky factors. Journal of Data Science, 20(4): 461–474.

Daw R, Wikle CK (2022). Supervised spatial regionalization using the Karhunen-Loève expansion and minimum spanning trees. Journal of Data Science, 20(4): 566–584.

Fahmy Y, Guinness J (2022). Vecchia approximations and optimization for multivariate Matérn models. Journal of Data Science, 20(4): 475–492.

Gray SD, Heaton MJ, Bolintineanu DS, Olson A (2022). On the use of deep neural networks for large-scale spatial prediction. Journal of Data Science, 20(4): 493–511.

Pereira M, Desassis N, Allard D (2022). Geostatistics for large datasets on Riemannian manifolds: A matrix free approach. Journal of Data Science, 20(4): 512–532.

Saha A, Datta A, Banerjee S (2022). Scalable predictions for spatial probit linear mixed models using nearest neighbor Gaussian processes. Journal of Data Science, 20(4): 533–544.

Wendelberger LJ, Gray JM, Wilson AG, Houborg R, Reich BJ (2022). Multiresolution broad area search: Monitoring spatial characteristics of gapless remote sensing data. Journal of Data Science, 20(4): 545–565.