Statistics professors Bob Stine of The Wharton School of The University of Pennsylvania and Peter Bloomfield of North Carolina State University talk about how they teach students to make connections between statistical concepts and real-world problems — and how this builds a workforce that appreciates analytic rigor and applies it to the decision making process.
On the table for discussion:
- Adapting the statistics curriculum to the times.
- Preparing analytic talent for the workforce.
- Bridging communication between analysts and decision makers.
- Conveying findings to senior management.
The conversation is relevant to those who work in academia and industry alike.
Expertise: auction models and variable selection, statistics in finance, information theory (coding) and model selection, hidden Markov models (HMM), statistical computing, time series analysis and forecasting, bootstrap resampling, data mining