Introduces zero-inflated Gaussian distributions for EDAs to jointly optimize sparsity patterns and active parameter values without bi-level schemes or custom operators.
Inference and missing data
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
In a case study using EHR data from two health systems, multiple imputation via CART for missing systolic blood pressure and HbA1c values showed that marginal versus conditional imputation affected imputed distributions but had minimal impact on inferences about neighborhood socioeconomic status and
citing papers explorer
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Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms
Introduces zero-inflated Gaussian distributions for EDAs to jointly optimize sparsity patterns and active parameter values without bi-level schemes or custom operators.
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Multiple Imputation Diagnostics when using Electronic Health Record Data in Observational Studies: A Case Study
In a case study using EHR data from two health systems, multiple imputation via CART for missing systolic blood pressure and HbA1c values showed that marginal versus conditional imputation affected imputed distributions but had minimal impact on inferences about neighborhood socioeconomic status and