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Normal-Wishart distribution

In probability theory and statistics, the normal-Wishart distribution (or Gaussian-Wishart distribution) is a multivariate four-parameter family of continuous probability distributions. It is the conjugate prior of a multivariate normal distribution with unknown mean and precision matrix (the inverse of the covariance matrix). In probability theory and statistics, the normal-Wishart distribution (or Gaussian-Wishart distribution) is a multivariate four-parameter family of continuous probability distributions. It is the conjugate prior of a multivariate normal distribution with unknown mean and precision matrix (the inverse of the covariance matrix).

[ "Wishart distribution", "Multivariate analysis", "Multivariate normal distribution", "Multivariate analysis of variance", "Multivariate gamma function", "Hotelling's T-squared distribution", "Inverse-Wishart distribution", "multivariate exponential distribution", "Multivariate stable distribution" ]
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