Refereed Publications:
Teaching Regression using American Football Scores. Everson, P (2007). Proceedings of the 56th Session of the International Statistical Institute, Lisboa, Portugal.
Sudden, Gradual, or Stepwise: Hypothesis Tests and Confidence Intervals for Non-simultaneous Mass Extinction Scenareos. Wang, S. and Everson, P. (2007). Paleobiolgy, 33(2) pp. 324-336.
The Poole-Rosenthal Scores: A Primer for Political Scientists.'' Everson, P., Valelly, R. and Wiseman, J., (2004). Proceedings of the American Political Science Association annual meeting.
Bayesian Inference for the Beta-Binomial Distribution via Polynomial Expansions. Journal of Computational and Graphical Statistics. Everson and Bradlow (2002).
Exact Bayesian inference for Normal hierarchical models. Everson (2001). Journal of Statistical Computation and Simulation, 68, 223-241.
Inference for multivariate Normal hierarchical models. Everson and Morris (2000). Journal of the Royal Statistical Society , series B, 62, Part 2, 399-412.
Simulation from Wishart distributions with eigenvalue constraints. Everson and Morris (2000). Journal of Computational and Graphical Statistics, 9, number 2, 380-389.
Discussion to "Exact sampling for Bayesian inference: towards general purpose algorithms", by P.J. Green and D.J. Murdoch. Everson (1999). Bayesian Statistics 6, J. M. Bernardo, J. O. Berger, A. P. Dawid, and A. F. M. Smith (Eds.), Oxford University Press.
Hiring a statistician at a liberal arts college. Everson and Iversen (1997). ASA Proceedings of the Section on Statistical Education, 82-85.
Other Publications:
Stein's Paradox Revisited. Everson (2007). "A Statistician Reads the Sports Pages," Chance, Vol. 20, No. 3.
Describing Uncertainty in Games Already Played. Everson (2007). "A Statistician Reads the Sports Pages," Chance, Vol. 20, No. 2, 49-56.
Programs:
TLNise: TLNise stands for Two-Level Normal independent sampling estimation, and enables inference about the parameters of a 2-level Normal hierarchical model based on independent draws from their exact posterior distributions. This is in contrast to MCMC methods, which produces correlated draws from a Markov chain that converges to the exact distribution.
rcwish: The SPlus function rcwish generates random draws from the Wishart and related distributions.
norm.hm: The S-Plus function norm.hm performs empirical Bayes inference for a two-level normal hierarchical model with univariate outcomes. The file norm.hm contains the S-Plus source code, which must be read into S-Plus. The file normhm.tex is a latex README file, which should be converted to a .dvi file before printing.