ABSTRACT
In our framework, observations y are longitudinal. So, for a given individual i, the model has to describe the change in yi = (yij) over time. To do this, we suppose that each observation yij comes from a probability
distribution, one that evolves with time. As we have decided to work with parametric models, we suppose that there exists a function α such that the distribution of yij depends on α(tij , ψi). Implicitly, this includes the time-varying variables xij mentioned above.
