Robert Stine, Ph.D., is Professor of Statistics in the Wharton School of the University of Pennsylvania. His research spans a variety of areas with many practical applications, ranging from forecasting to spatial models to fundamentals of multiple testing.
Recent projects include methods for selecting factors for predictive models from large databases, with particular relevance to the selection of factors that produce cost-effective decisions. These methods are crucial in the development of predictive models in data mining.
Professor Stine’s research has appeared in numerous academic journals, including the Journal of the American Statistical Association, Journal of the Royal Statistical Society, and the Annals of Statistics. He is the co-author of a recent textbook Business Statistics: Decision Making and Analysis.
He is the recipient of numerous teaching awards:
- Miller-Sherrerd MBA Core Teaching Award, 2003, 2006, 2007
- David W. Hauck Award for Outstanding Teaching, 2001
- Excellence in Teaching Award (Undergraduate Division), 2001, 2004
You can access his personal webpage by clicking here.