This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 325
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Sports
Abstract - #306093
Title: Improved Estimates for the Impact of Baserunning in Baseball
Author(s): Benjamin Strong Baumer*+
Companies: CUNY Graduate Center
Address: Department of Mathematics, New York, NY, 10016,
Keywords: baseball ; baserunning ; simulation ; Monte Carlo ; Bayesian ; Retrosheet
Abstract:

In a previous paper, we used a Monte Carlo simulation to estimate the impact of baserunning ability in Major League Baseball. In this paper, we add a Bayesian framework to improve our estimates of each baserunner's ability. We then exhaustively search the space of all players to identify the best and worst baserunners. The source code for the simulator itself, known as SimulOutCome, has undergone major revisions and is now available under an open source license. Notably, all data is now taken from the publicly available Retrosheet database.


The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program




2010 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.