is called a parametric model. Typical questions in this setting are:

* Parameter estimation: Which choice of parameters best explains the observed data or leads to best predictions?
* Interval estimation: What are suitable upper- and lower bounds and , such that the "best" parameter lies in the interval with high probability?
* Hypothesis testing: