Bayesian Modular and Multiscale Regression

16 Sep 2018Michele PeruzziDavid B. Dunson

We tackle the problem of multiscale regression for predictors that are spatially or temporally indexed, or with a pre-specified multiscale structure, with a Bayesian modular approach. The regression function at the finest scale is expressed as an additive expansion of coarse to fine step functions... (read more)

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