• Corpus ID: 54210362

An Additive Gaussian Process Approximation for Large Spatio-Temporal Data

@inproceedings{Ma2017AnAG,
  title={An Additive Gaussian Process Approximation for Large Spatio-Temporal Data},
  author={Pulong Ma and Bledar A. Konomi and Emily Lei Kang},
  year={2017}
}
We propose a new additive spatio-temporal Gaussian process approximation to model complex dependence structures for large spatio-temporal data. The proposed approximation method incorporates a computational-complexity-reduction method and a separable covariant function, which can capture different scales of variation and spatio-temporal interactions. The first component is able to capture nonseparable variation while the second component captures the separable variation of all scales. The… 

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