The researchers looked at how well a method called kernel density estimation works when the bandwidth (a key parameter) is large. They found that using a specific type of function called the normal density function as the kernel can be especially useful in this situation. This study also showed a connection between kernel density estimation and a type of approach called 'semiparametric' methods for estimating densities.