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Igor Shuryak

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#machine learning Preprint Oct 2026

Bayesian Causal Forests for Zero-Inflated Continuous Outcomes

This paper proposes Zero-Inflated Continuous Bayesian Causal Forests with Duan's Smearing (ZIC-BCF-Smear), a decoupled two-part nonparametric estimator that fits a Probit BCF on the full sample to model participation and a Gaussian BCF strictly on the active subpopulation to model positive intensity.

H. G. Souto, E. Wang, Igor Shuryak · 0 citations

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