The article explores how to estimate probability density without making assumptions about the data distribution. By using a method called the "Rule of thumb," the researchers found the best way to smooth out the density estimator. They tested this method using numerical simulations and found that the triangular core and Epanechnikov or parabolic density estimators performed well.