Novel Bayesian Frameworks for Measurement Error Problems in Complex Multivariate Data
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This project develops new statistical tools to address a common and important challenge in scientific research: drawing reliable conclusions from data in which observations on variables of interest are imprecise and contaminated by measurement errors. In many real-world studies, from nutrition and health research to astronomy, neuroimaging, and…
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