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

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.

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