Gaussian Process Regression for Astronomical Time Series
The past two decades have seen a major expansion in the availability, size, and precision of time-domain data sets in astronomy. Owing to their unique combination of flexibility, mathematical simplicity, and comparative robustness, Gaussian processes (GPs) have emerged recently as the solution of ch...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Annual Reviews
2023
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