Symbulate: Simulation in the Language of Probability

Abstract

Simulation is an effective tool for analyzing probability models as well as for facilitating understanding of concepts in probability and statistics. Unfortunately, implementing a simulation from scratch often requires users to think about programming issues that are not relevant to the simulation itself. We have developed a Python package called Symbulate (https://github.com/dlsun/symbulate) which provides a user friendly framework for conducting simulations involving probability models. The syntax of Symbulate reflects the "language of probability" and makes it intuitive to specify, run, analyze and visualize the results of a simulation. Moreover, Symbulate's consistency with the mathematics of probability reinforces understanding of probabilistic concepts.  This webinar will demonstrate Symbulate's use with a variety of probability concepts and problems, including: probability spaces; events; discrete and continuous random variables; joint, conditional, and marginal distributions; stochastic processes; and more.