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Robust Uncertainty Quantification for Foundation Models: Bayesian and Frequentist Approaches for High-Stakes Applications
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Bayesian Tree-Based Methods for Environmental Health Research
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Statistical approaches for understanding and addressing preferential sampling in model-based geostatistics
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Unveiling Systematic Risks: PCA Analysis to High-Frequency and Low-Frequency Factor Data
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Surveilling Spatially Concentrated Disease Patterns: A Bayesian Approach to Understanding Tuberculosis in the United States
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Advanced Statistical Methods for Brain Connectivity Analysis
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Assessing the Impact of Health Facility-Based Maternal Delivery Care on Adverse Pregnancy Outcomes in Kenya: A Multi-Factor Analysis Approach
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Novel Machine Learning Methods for Genomic Data Analysis
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Inverse problem application in the field of biomedical image reconstruction
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Omniscience in Adversarial Causal Inference: Implications for Balancing Estimators of Average Treatment Effects
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