Next week I'll be headed to SAS headquarters in Cary, NC for an interview on Analytically Speaking. I look forward to Anne Milley's thought-provoking questions! The announcement promises to walk through several of my research areas:
In her highly acclaimed paper, To Explain or to Predict?, Galit Shmueli writes “statistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction, and description.” But while it is common to conflate explanation and prediction, understanding the distinction is crucial.
On the table for discussion:
Four important tensions between explaining and predicting.
Hacking data mining for causality.
How to spark student curiosity in statistics.
What is behavioral big data?
Expertise: explanatory modeling, causality, predictive modeling, predictive power, statistical strategy, data mining, scientific research
The interview will be recorded. You can register for the free webcast.