Published Papers
James G. Scott (2009). Nonparametric Bayesian multiple testing for longitudinal performance stratification. The Annals of Applied Statistics, to appear.
Carlos M. Carvalho and James G. Scott (2009). Objective Bayesian model selection in Gaussian graphical models. Biometrika, to appear.
James G. Scott and Carlos M. Carvalho (2008). Feature-inclusion stochastic search for Gaussian graphical models. Journal of Computational and Graphical Statistics 17:4, 790-808.
James G. Scott and James O. Berger (2006). An exploration of aspects of Bayesian multiple testing. Journal of Statistical Planning and Inference 136:7, 2144-2162.
von Hippel, Ted; Jefferys, William H.; Scott, James; Stein, Nathan; Winget, D. E.; DeGennaro, Steven; Dam, Albert; Jeffery, Elizabeth (2006). "Inverting Color-Magnitude Diagrams to Access Precise Star Cluster Parameters: A Bayesian Approach." The Astrophysical Journal 645:2, 1436-1447.
Submitted Papers and Technical Reports
James G. Scott (2009). Flexible Learning on the Sphere via Adaptive Needlet Shrinkage and Selection. Duke University Department of Statistical Science Technical Report 2009-09.
Carlos M. Carvalho, Nicholas Polson, and James G. Scott (2009). Handling sparsity via the horseshoe. To appear in Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics.
Jose M. Quintana, Carlos M. Carvalho, and James G. Scott (2009). Bayesian forecasting, futures markets, and risk modelling. In Handbook of Applied Bayesian Analysis. Edited by Tony O'Hagan and Mike West. Oxford University Press, to appear.
Carlos M. Carvalho, Nicholas Polson, and James G. Scott. The horseshoe estimator for sparse signals. Duke University Department of Statistical Science Technical Report 2008-31.
James G. Scott and James O. Berger. Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem. Duke University Department of Statistical Science Technical Report 2008-10.