Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting
Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Long-term forecasting involves predicting a horizon that is far ahead of the last observation. It is a problem of high practical relevance, for instance for companies in order to decide upon expensive long-term investments. Despite the recent progress and success of Gaussian processes (GPs) based on spectral mixture kernels, long-term forecasting r...
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Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting
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TN_cdi_proquest_journals_2459084729
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2459084729
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2331-8422
