Trevor David (Flatiron) convened a group to talk about latent-variable models and the myriad decisions they require. He is trying to model the ages and the abundances of stars, with the hope of getting a new age indicator. Nora Eisner (Flatiron) is building a very similar model but for the classifications by participants in a big citizen-science project. We discussed the relationships between number of latents, model complexity, regularization, and predictions. We also discussed testing, interpretation, and trustworthiness. It's a big space.
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