Quasi-likelihood

Quasi-likelihood is a statistical framework used to estimate parameters in models where the likelihood function may not be fully specified or is difficult to derive. It extends the concept of likelihood by using a quasi-likelihood function that approximates the true likelihood of the observed data. The quasi-likelihood approach is particularly useful in situations where the distribution of the response variable is unknown or when the underlying data-generating process is complex.