Handling Exposures in Insurance Modeling
Exploring how exposures in insurance modeling can be applied as either an offset or as a weight.
Exploring how exposures in insurance modeling can be applied as either an offset or as a weight.
Using pymc to build a model to provide posterior samples of policy-level claim and severity estimates
Extending the trend filtering approach to the multivariate additive case
Modeling baseball win rates using exponential smoothing to illustrate insurance experience rating
Fitting a Trend Filtering Model Using CVXPY
Revealing the strangeness of ergodicity breaking with a simple game