Dan Spitzner

Degrees

Ph.D., University of North Carolina at Chapel Hill

"My interests are in the development of statistical methodology for social sciences and related disciplines. My preferred methodology is Bayesian statistics, which I like because of its attention to issues of meaning, as well as its methodological flexibility. My recent work contributes to discussion to the problem of elicitation under a socially-inclusive worldview. I also contribute methodology for hypothesis testing and model choice, which attend to issues of sensitivity to prior dispersion and multiple testing. Some of my older work looks at testing in functional data analysis and shrinkage estimation.”

Link to UVa Profile