A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

Nonparametric estimation of probability density functions, both marginal and joint densities, is a very useful tool in statistics. The kernel method is popular and applicable to dependent data, ...

Asymptotic properties of estimates of a probability density function and its derivatives which use the kernel-method are studied. Some results on the rate of convergence of these estimates are ...