An Analysis of NBA Spatio-Temporal Data

dc.contributor.advisor	Mukherjee, Sayan
dc.contributor.author	Robertson, Megan
dc.date.accessioned	2017-08-16T18:26:11Z
dc.date.available	2017-08-16T18:26:11Z
dc.date.issued	2017
dc.department	Statistical Science
dc.description.abstract	This project examines the utility of spatio-temporal tracking data from professional basketball games by fitting models predicting whether a player will make a shot. The first part of the project involved the exploration of the data, evaluated its issues, and generated features to use as co-variates in the models. The second part fit various classification models and evaluated their predictive performance. The paper concludes with a discussion of methods to improve the models and future work.
dc.identifier.uri	https://hdl.handle.net/10161/15261
dc.subject	Statistics
dc.subject	Sports management
dc.subject	NBA
dc.subject	player tracking
dc.subject	statistical modeling
dc.title	An Analysis of NBA Spatio-Temporal Data
dc.type	Master's thesis

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