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Fast covariance parameter estimation of spatial Gaussian process models using neural networks
Although we focus on a specific covariance estimation problem motivated by a climate science application, this work can be easily extended to other, more complex, spatial problems and provides a proof-of-concept for this use of machine learning in computational statistics.
optimParallel: an R Package Providing Parallel Versions of the Gradient-Based Optimization Methods of optim()
The R package optimParallel provides a parallel version of the gradient-based optimization methods of optim().
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