Multivariate kernel density estimation
Multivariate kernel density estimation
Statistics is concerned with quantifying uncertainty. The main building block of statistical analysis is a random variable. A random variable is a mathematics function which assigns a numerical value to each possibility.
estimating is a fundamental question in the field of statistics.
In statistics, kernel density estimation (or Parzen window method, named after Emanuel Parzen) is a non-parametric way of estimating the probability density function of a random variable. As an illustration, given some data about a sample of a population, kernel density estimation makes it possible to extrapolate the data to the entire population.