Math 2.0

concept

Multivariate normal distribution

Summary

The multivariate normal distribution is the extension of the normal distribution to random vectors in Rk\mathbb{R}^k. A mean vector and a covariance matrix determine it. The node multivariate normal distribution gives the precise definition.

What this node needs for W2
  • edge instance_of in: at least two examples (0 of 2)
  • edge not_instance_of in: at least one non-example (0 of 1)
  • edge specializes both: the more general notions and the special cases (0 of 1)

The writing levels say how complete the text of a node is. They do not measure its truth.

Sources

  1. Web https://en.wikipedia.org/wiki/Multivariate_normal_distribution, lead section

What links here

Definitions