A comprehensive review and the latest progress of the generalized linear models is studied, including the maximum likelihood estimate theory and the maximum quasi-likelihood estimate theory of generalized linear models, its application with complicated data, the empirical likelihood and variable selection in generalized linear models. At last, it is noted that the future possible research areas will be in the theory and application of high dimension data.

generalized linear models; large sample theory; quasi-likelihood method