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Robert Stine is a Professor Emeritus of Statistics at the Wharton School. His research interests include credit scoring, model selection, pattern recognition classification, and forecasting. He has extensive experience as a consultant in industry, focusing on the development of practical tools for building and assessing forecast models, particularly with time series data. His research spans a range of topics, covering both abstract theoretical properties of methodology and their applications in marketing, finance, and clinical problems. Stine's recent work concerns the use of information theory to understand and contrast methods for selecting optimal statistical models, which is particularly relevant for the selection of important modeling factors. His research has been published in numerous academic journals, including the Journal of the American Statistical Association and the Annals of Statistics.
Wharton School • University of Pennsylvania
Professor Emeritus of Statistics with a focus on practical applications in credit scoring and forecasting.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.