Researchers developed a new method called Bayes DEA to analyze efficiency scores in data. This method is more consistent with the data analysis framework and doesn't require solving complex problems for each data point. By comparing distributions of efficiency scores in US banking data, they found that Bayes DEA gives different results compared to traditional methods like DEA and bootstrap-DEA. The efficiency scores from Bayes DEA are more varied and not as concentrated around a single value.