Marginal probability density function

Let X_i be the i-th component of a Kx1 continuous random vector X having joint probability density function [eq1]. The probability density function of X_i - called marginal probability density function of X_i and denoted by [eq2] - is obtained from the joint probability density function as follows:[eq3]In other words, the marginal probability density function of X_i is obtained integrating the joint probability density function with respect to all variables except $x_{i}$.

Marginal probability density functions are discussed in more detail in the lecture entitled Random vectors.

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