Multivariate Gaussian Function
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A Multivariate Gaussian Function is a multivariate probability density function that is a member of a multivariate Gaussian distribution family.
- Context:
- It can be a member of a Multivariate Gaussian Mixture.
- It can range from being a Symmetric Gaussian Distribution to being a Non-Symmetric Gaussian Distribution.
- Example(s):
- a Bivariate Normal Function, such as:
- a Bivariate Normal Function, such as:
- Counter-Example(s):
- See: Joint Distribution, Multinomial Distribution, Spherical Gaussian Distribution.