Consider a continuous random vector, whose entries are continuous random variables.
Each entry of the random vector has a univariate distribution described by a probability density function (pdf). This is called marginal probability density function, to distinguish it from the joint probability density function, which depicts the multivariate distribution of all the entries of the random vector.
A more formal definition follows.
Definition
Let
be
continuous random variables forming a
continuous random vector. Then, for each
,
the pdf of the random variable
,
denoted by
,
is called marginal probability density function.
Before explaining how to derive the marginal pdfs from the joint pdf, let us revise the basics of pdfs.
The probability density function of a variable
is a function
such that the probability that
will take a value in the interval
is
for
any interval
The joint probability density function of the vector
is a function
such that the probability that
will take a value in the interval
,
simultaneously for all
,
is
for
any
hyper-rectangle
The marginal probability density function of
is obtained from the joint pdf as
follows:
In other words, to compute the marginal pdf of
,
we integrate the joint pdf with respect to all the variables except
.
Let
be a
continuous random vector having joint
pdf
To derive the marginal probability density function of
,
we integrate the joint pdf with respect to
.
When
,
then
When
,
then
Therefore, the marginal probability density function of
is
On the following pages you can find other examples and detailed derivations:
the marginals of a multivariate normal density are univariate normals;
the marginals of a multivariate Student density are univariate t;
Marginal probability density functions are discussed in more detail in the lecture on Random vectors.
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Please cite as:
Taboga, Marco (2021). "Marginal probability density function", Lectures on probability theory and mathematical statistics. Kindle Direct Publishing. Online appendix. https://www.statlect.com/glossary/marginal-probability-density-function.
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