Count Processes
Overview
A count process is a model that models a situation where over a predefined time interval, there
are a number of events that occur. The model gives the distribution of the number of events.
The typical way to model count data is with the
Poisson Distribution.
{% Prob(count = n) = \frac{exp(-\lambda_t) \lambda_t ^n }{n!} %}
Fitting to Data
Poisson Regression
