An Inverse Optimization Analysis of the Fourth Down Decision in Football

Nathan Sandholtz, Lucas Wu, Martin Puterman, and Timothy Chan

In preparation

​

Inverse Bayesian Optimization: Learning Human Search Strategies in a Sequential Optimization Task

Nathan Sandholtz, Yohsuke Miyamoto, Luke Bornn, and Maurice Smith

Submitted

[arxiv]

Measuring Spatial Allocative Efficiency

Nathan Sandholtz, Jacob Mortensen, and Luke Bornn

Journal of Quantitative Analysis in Sports, 2020

[JQAS] [arxiv] [code]

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]

Modeling sea‐level processes on the U.S. Atlantic Coast

Candace Berrett, William F. Christensen, Stephan R. Sain, Nathan Sandholtz, David W. Coats, Claudia Tebaldi, and Hedibert F. Lopes

Environmetrics, 2019

[Env] 

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

[pdf]