The researchers developed a new method called partial quasi-likelihood analysis to improve statistical estimations. They focused on situations where slow mixing components make traditional methods less effective. By applying this new approach, they were able to derive more accurate estimators, especially the quasi-Bayesian estimator. This method was illustrated through two examples, showcasing its effectiveness in real-world scenarios.