Kernel Density Estimation: Non-parametrically estimating the probability density function from data using kernel functions, enabling flexible adaptation to complex distributions.

Probability density function is a statistical expression defining the likelihood of a series of outcomes for a continuous variable, such as a stock or ETF return.

Probability Density vs. Cumulative Distribution The other distinction is between the probability density function (PDF) and the cumulative distribution function.