Description: This abstract describes a paper that, using data from a major insurer, compares and contrasts several different models for risk assessment, including GLMs, GLMMs, and GAMs.

Description: This abstract describes a presentation in which the use of the propensity score in health care studies can minimize biases stemming from non-random treatment assignment and lead to appropriate conclusions on the effect of the intervention.

Description: This abstract describes a paper that describes various Bayesian methods for fitting regime-switching models and compares their benefits and disadvantages.

Description: This abstract describes a paper that investigates how to best choose a model from a flexible set of regime-switching models where the individual regimes are not constrained to be from the same distributional family.

Description: This abstract describes a presentation that discusses models to predict damage from future storms and help the utility properly manage their risk.