284 citations · 806 across the 87 of their papers we have counts for
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Efficiency Assessment of Approximated Spatial Predictions for Large Datasets
Yiping Hong, Sameh Abdulah, Marc G. Genton +1
Due to the well-known computational showstopper of the exact Maximum Likelihood Estimation (MLE) for large geospatial observations, a variety of approximation methods have been pro…
Functional Time Series Analysis Based on Records
Israel Martínez-Hernández, Marc G. Genton
In many phenomena, data are collected on a large scale and of different frequencies. In this context, functional data analysis (FDA) has become an important statistical methodology…
Large-scale Environmental Data Science with ExaGeoStatR
Sameh Abdulah, Yuxiao Li, Jian Cao +4
Parallel computing in Gaussian process calculations becomes necessary for avoiding computational and memory restrictions associated with large-scale environmental data science appl…
Improving Bayesian Local Spatial Models in Large Data Sets
Amanda Lenzi, Stefano Castruccio, Haavard Rue +1
Environmental processes resolved at a sufficiently small scale in space and time will inevitably display non-stationary behavior. Such processes are both challenging to model and c…