Calvin Berry

Calvin Berry is Associate Professor of Mathematics at the University of Louisiana at Lafayette, specializing in statistical decision theory, Bayesian methods, and multivariate analysis. He holds a PhD in Statistics from Cornell University and teaches across the statistics curriculum.

Research focuses on:

• Decision-theoretic approaches to estimation
• Bayesian inference in restricted parameter spaces
• Improvements to classical estimators
• Multivariate distribution theory

Publications frequently address minimax estimation, equivariant estimators, and enhancements to established methods like the James-Stein estimator. Berry developed original course materials including textbooks on probability and statistics used in undergraduate and graduate instruction.

He provides statistical consulting services to university researchers while maintaining an active research program in theoretical statistics.