Sean G. Carver's Research Interests

Much of my current research involves projects related to the statistical analysis of models using simulated data.

• Overlapping software projects: KLI_R (R/Github/Git) and KLI (Python/Bitbucket/Mercurial).

These projects involve, among other things, computing the number of samples needed to reject an alternative model with the likelihood ratio test, in favor of a true model that produces the data.

• Baseball: how many innings must be played by model of the Baltimore Orioles (fitted from actual Orioles home games) to reject the model that the New York Yankees are playing.

This statistic is an interpretable way of quantifying the similarity of models.