The article discusses how likelihood-based methods can be used to estimate parameters in statistics. It focuses on proving that these methods work well with large amounts of data. The researchers show that if the estimated values are consistent, then they will also be accurate in the long run. They also demonstrate that certain statistical tests based on likelihood can be reliable when dealing with a lot of data.