Bayesian Additive Distribution Regression
Bayesian Additive Distribution Regression explores DistBART is a scalable Bayesian nonparametric approach to distribution regression, modeling the regression function as a linear functional with a BART prior, enabling prediction of scalar responses from distribution-valued predictors.. Commercial viability score: 7/10 in Statistical Modeling.
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