aggregate Documentation

aggregate builds approximations to compound (aggregate) probability distributions quickly and accurately. It can be used to solve insurance, risk management, and actuarial problems using realistic models that reflect underlying frequency and severity. It delivers the speed and accuracy of parametric distributions to situations that usually require simulation, making it as easy to work with an aggregate (compound) probability distribution as the lognormal. aggregate includes an expressive language called DecL to describe aggregate distributions and is implemented in Python under an open source BSD-license.

This help document is in four parts plus a bibliography.

1. Getting Started: get up and running: installation, aggregate “hello world”, and a glimpse into the functionality.

2. Aggregate Overview: the computation pipeline, bucket selection, and the probability theory and numerical methods behind the library.

3. Reference: documentation for every class and function, for developers and more advanced users.

4. Dec Language Reference: the Dec Language (DecL) for specifying aggregate distributions.