I spent my research time today preparing my slides for the Extreme Precision Radial Velocity meeting at Yale. I am talking about noise models, arguing for creating and taking advantage of great flexibility, and then controlling complexity with priors or regularization or hierarchical inference. I also want to give some ideas about how, technically, we do what we do.
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