top of page

Working Papers

Extracting Predictive Value from Off-target Shots in Soccer
Ethan Baron, Nathan Sandholtz, Devin Pleuler, and Timothy Chan

Risk Measure Inference in Markov Decision Processes: An Application to the Fourth Down Decision in American Football
Nathan Sandholtz, Lucas Wu, Martin Puterman, and Timothy Chan
In preparation

Uncertainty Quantification in Inverse Optimization
**Timothy C. Y. Chan, Nathan Sandholtz, and Nasrin Yousefi
In preparation

Learning Noise-informed Optimal Serving Strategies in Tennis
Nathan Sandholtz, Gilbert Fellingham, Stephanie Kovalchik, and Ron Hager
In preparation

Refereed Publications

Moneyball for Murderball: Using Analytics to Construct Lineups in Wheelchair Rugby
**Timothy C. Y. Chan, Craig Fernandes, Albert Loa, Nathan Sandholtz
INFORMS Transactions on Education, Forthcoming

Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task
Nathan Sandholtz, Yohsuke Miyamoto, Luke Bornn, and Maurice Smith
Bayesian Analysis, 2022
[BA] [arxiv] [code]

Measuring Spatial Allocative Efficiency
Nathan Sandholtz, Jacob Mortensen, and Luke Bornn
Journal of Quantitative Analysis in Sports, 2020
[JQAS] [arxiv] [code] [talk]

Markov Decision Processes with Dynamic Transition Probabilities: An Analysis of Shooting Strategies In Basketball
Nathan Sandholtz and Luke Bornn
Annals of Applied Statistics, 2020
[AoAS[arxiv] [code] [talk]

Other Publications

Chuckers: Measuring Lineup Shot Distribution Optimality Using Spatial Allocative Efficiency Models

Nathan Sandholtz, Jacob Mortensen, and Luke Bornn

Proceedings of the 13th MIT Sloan Sports Analytics Conference, 2019

[pdf] [code]

Replaying the NBA

Nathan Sandholtz and Luke Bornn

Proceedings of the 12th MIT Sloan Sports Analytics Conference, 2018

[pdf] [code]

Hate crime victimization, 2003-2011

Nathan Sandholtz, Lynn Langton, and Mike Planty

US Department of Justice, Office of Justice Programs, Bureau of Justice Statistics, 2013


** Authors are listed alphabetically.  

bottom of page