A marginal distribution is the distribution of a selected coordinate or subvector of a random vector, obtained from the joint distribution by integrating or summing over the remaining coordinates.
Marginalization sums or integrates a joint probability distribution over unwanted coordinates to obtain a marginal distribution.
A marginal density is a probability density function for one component of a joint probability distribution. Integrating the joint probability density over the other coordinates gives it; for two components, fX(x)=∫fX,Y(x,y)dy.
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- Joint probability distribution
- Probability distribution
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- Chain rule for information entropy
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- Mean-field closure for velocity alignment
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- Multivariate Gaussian distribution
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