Kernel regression

Kernel regression is a method used to estimate something. It works by using a mathematical formula to combine two separate pieces of data and make a guess (called an estimate) of what should be the true value. This guess doesn't have to be perfect, but the closer it is to the true value, the better. To make its guess, kernel regression looks at the patterns found in the data, and uses those patterns to form its estimate.