It relates to probability density functions by explaining how the distribution of these averages or sums tends to approach a specific shape: the normal distribution (bell curve).

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, ...

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.

Taiwanese Journal of Mathematics, Vol. 27, No. 2 (April 2023), pp. 221-236 (16 pages) We prove a new case of mixed discrete joint universality theorem on approximation of certain target couple of ...