Bayesian Isotonic Regression for Discrete Outcomes
By David B. Dunson. 2003
11 citations recorded by the source corpus.
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- Cynthia Rudin
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Citations in the corpus
- Falling Rule Lists (2014, background): “…n , ζ n for each n = 1 , . . . , N preserves the marginal distribution over the original variables, and enables Gibbs sampling over K and each γ l (see Dunson, 2004): Y n = 1 ( U n > 0) for n = 1 , . . . , N. Marginalizing over ζ n and U n , we see that in this augmented model, it remains true…”