Lu Yang

Lu Yang is an Assistant Professor in the Department of Statistics at the University of Minnesota Twin Cities. Their research focuses on advanced statistical methodologies for non-continuous outcomes, particularly in insurance and healthcare domains.

• University: University of Minnesota Twin Cities
• Academic Rank: Assistant Professor

Key research areas include:

• Copula modeling for complex dependencies
• Regression diagnostics for semi-continuous and discrete outcomes
• Dynamic prediction frameworks with terminal events
• Experience rating in insurance contexts
• Nonparametric estimation techniques
• Vine copula structures for longitudinal data

Recent publications analyze copula-based inference for mixed insurance claims data (2022), D-vine copula models (2022), and probability integral transform residuals (2024). Their work bridges theoretical statistics with practical applications in risk assessment and healthcare analytics.

Current research activity (2022-2024) shows consistent contributions to statistical methodology and insurance applications. They received NSF funding (2022-2026) for regression model assessment with non-continuous outcomes.