Bayesian analysis of Dyadic data arising in basketball

The goal of this project is to use statistical methods to identify players and combinations of players which affect a basketball team's performance. The traditional statistics which are recorded tell us only about the contribution of individual player. However, there are subtle aspects of play are known to be important but are not routinely recorded. The model we propose is based on the Bayesian social relations model. The results help us identify aspects of player performance. Data from the NBA 2004 and NBA 2005 finals are used throughout the project to illustrate our approach.