Research Summary

Applied Bayesian statistics including applications to low probability / high consequence events. Bayesian methods are among the best options for analyzing non-experimental data, inference in the face of model uncertainty, and use when expert judgment can be articulated.

Education

  • BS, Philosophy, University of Utah
  • PhD, Economics, University of Utah

Biography

My interests relate to applied Bayesian statistics.  Bayesian methods seem to me to be among the best options for analyzing non-experimental data, inference in the face of model uncertainty, and use when expert judgement can be obtained.  It is also of primary importance in dealing with models related to low probability and high consequence events.