Sheldon Howard Jacobson, Ph.D.

University of Illinois at Urbana-Champaign


Papers in Archival Journals


Causal Inference, Social Sciences, and Politics

1.  Rigdon, S., Jacobson, S.H., Cho, W.T., Sewell, E.C., Rigdon, C.J., 2009, “A Bayesian Prediction Model for the United States Presidential Election,” American Politics Research, 37(4), 700-724.

2.  Rigdon, S.E., Sewell, E.C., Jacobson, S.H., Cho, W.K.T., Rigdon, C.J., 2010, “An Analysis of Daily Predictions for the 2008 United States Presidential Election,” Case Studies in Business, Industry and Government Statistics, 4(1), 1-8.

3.  King, D.M., Jacobson, S.H., Sewell, E.C., Cho, W.K. Tam, 2012, “Geo-Graphs: An Efficient Model for Enforcing Contiguity and Hole Constraints in Planar Graph Partitioning,” Operations Research, 60(5), 1213-1228.

4.  Nikolaev, A.G., Jacobson, S.H., Cho, W.K.T., Sauppe, J.J., Sewell, E.C., 2013 “Balance Optimization Subset Selection (BOSS): An Alternative Approach for Causal Inference with Observational Data,” Operations Research, 61(2), 398-412.

5.  Cho, W.T., Nikolaev, A.G., Sauppe, J., Jacobson, S.H., Sewell, E.C., 2013, “An Optimization Approach to Making Causal Inferences,” Statistica Neerlandica, 67(2), 211-226.

6.  Sauppe, J. J., S. H. Jacobson, and E. C. Sewell, 2014, “Complexity and Approximation Results for the Balance Optimization Subset Selection Model for Causal Inference in Observational Studies,” INFORMS Journal on Computing, 26(3), 547–566.

7.  King, D.M., Jacobson, S.H., Sewell, E.C., 2015, “Efficient Geo-Graph Contiguity and Hole Algorithms for Geographic Zoning and Dynamic Plane Graph Partitioning,Mathematical Programming, Series A, 149(1&2), 425-457.

8.  Rigdon, S.E., Sauppe, J.J., Jacobson, S.H., 2015, "Forecasting the 2012 and 2014 Elections using Bayesian Prediction and Optimization," Sage Open, 5(2), 1-16.

9.  Dutta, S. Sauppe, J.J, Jacobson, S.H., 2016, “Targeted Marketing Using Balance Optimization Subset Selection,” Annals of Data Science, 3(4), 423-444.

10.   King, D.M., Jacobson, S.H. 2017, "Random Acts of Violence: Examining Probabilistic Independence of Mass Killing Events in the United States" Victims and Violence.


Last Updated: 1 January 2017