J. Robert Heath

J. Robert Heath is an Associate Professor at the University of Kentucky's Stanley and Karen Pigman College of Engineering. His research focuses on Machine Vision and Intelligence and Software Engineering, with applications spanning statistics, finance, biology, and healthcare.

• Institution: University of Kentucky
• School: Stanley and Karen Pigman College of Engineering
• Role: Associate Professor

Heath’s scholarly work emphasizes:

• Robust statistical methods for regression and classification
• Machine learning applications in financial and biological domains
• Development of software tools for data analysis (e.g., Stata/R modules)
• Biological data modeling, particularly in avian physiology
• Dimensionality reduction techniques like inverse regression

Recent publications highlight trends in:

• Spurious correlation detection in complex datasets
• Ensemble machine learning for financial forecasting
• Robust regression techniques for "Big Data" challenges
• Advancements in variable selection for nonnormal models
• Interdisciplinary applications of statistical modeling

Contact: jr.heath@uky.edu