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Allow for a GP to model covariance matrix #26

@richteague

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@richteague

Posteriors are wildly underestimated, likely due to the poor (non-existent) handling of uncertainties. Try and implement a GP to model the covariance matrix and then marginalize over its hyper-parameters to see if that improves the returned posteriors.

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