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A different, also very explicit way to go about this type of problem, that also generalizes fully, is to use a Bayesian hierarchical model of a dirichlet proces
by henrydark 3y ago
A different, also very explicit way to go about this type of problem, that also generalizes fully, is to use a Bayesian hierarchical model of a dirichlet process and sub-isotonic regressions.
Gelman et al have written a lot about this, and they have a proposed general workflow [1]
[1] Bayesian Workflow https://arxiv.org/abs/2011.01808 https://arxiv.org/abs/2011.01808
- usgroup 3y agoI think the focus of the article is the introduction of Prolog as a general tool for data science. The examples are just incidental.