Quasi-Likelihood Estimation

Quasi-likelihood estimation is a statistical parameter estimation method that performs inference without requiring the full specification of a probability distribution. It offers robustness advantages in settings where observational data are sparse or distributional information is incomplete, relying only on assumptions about the mean and variance structure rather than the full likelihood.