Thursday, March 19th, 12 – 12:50p, Taylor 212
One of the basic elements of sabermetrics (the study of baseball statistics) is the notion of runs expectancy. We review the work of George Lindsey who explored the distribution of runs scored given the outs and runners on base. We describe several applications of runs expectancy including its use in baseball strategy, determining the values of plays, and developing modern measures of performance. We review recent work that uses ordinal regression models to represent distributions of runs scored. Join us for this lunch-n-learn with Bucknell alum Jim Albert ’75! Sign up here, all are welcome!
Speaker: Jim Albert ’75
Jim Albert graduated from Bucknell and was a professor in the Department of Mathematics and Statistics at Bowling Green State University for 41 years. His interests including Bayesian modeling and the applications of statistical thinking in sports. His baseball books include Curve Ball, Teaching Statistics Using Baseball and Analyzing Baseball Data with R. He currently is employed as a statistical analyst for the Houston Astros.
In addition to the lunch-n-learn, you can sign up for 1-on-1 sessions to Jim about careers in sports analytics. Pick a time on March 19th here: https://calendar.app.google/6HHie1dhqbQrKkuj8