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Showing 1 to 2 of 2 for “"Bayesian hurdle models"”.
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Component-wise Z-residual Diagnosis for Bayesian Hurdle Models
… if not properly accounted for. Traditional models assume specific data-generating mechanisms and often perform poorly when zero counts dominate. Hurdle models provide a flexible solution by separating the modeling process into two parts: (1) a binary model that predicts whether the count is …
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Bayesian methods for hurdle models.
Hurdle models are often presented as an alternative to zero-inflated models for count data with excess zeros. They consist of two parts: a binary model indicating a positive response (the "hurdle") and a zero-truncated count model. One or both parts of the model can depend on covariates, which may …