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08/28/2023
Which Parameterization of the Matérn Covariance Function?
The Matérn family of covariance functions is currently the most popularl...
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06/20/2023
Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks
Spatial processes observed in various fields, such as climate and enviro...
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08/03/2020
High Performance Multivariate Spatial Modeling for Geostatistical Data on Manycore Systems
Modeling and inferring spatial relationships and predicting missing valu...
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11/11/2019
Efficiency Assessment of Approximated Spatial Predictions for Large Datasets
Due to the well-known computational showstopper of the exact Maximum Lik...
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07/23/2019
ExaGeoStatR: A Package for Large-Scale Geostatistics in R
Parallel computing in Gaussian process calculation becomes a necessity f...
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05/30/2018
A Survey of the State-of-the-Art Parallel Multiple Sequence Alignment Algorithms on Multicore Systems
Evolutionary modeling applications are the best way to provide full info...
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04/24/2018
Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations
Maximum likelihood estimation is an important statistical technique for ...
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04/24/2018