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In probability theory and statistics, the … In probability theory and statistics, the normal-inverse-Wishart distribution (or Gaussian-inverse-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 covariance matrix (the inverse of the precision matrix).rix (the inverse of the precision matrix).
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http://www.cs.ubc.ca/~murphyk/Papers/bayesGauss.pdf +
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normal-inverse-Wishart
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, inverse scale matrix
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density
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| rdfs:comment |
In probability theory and statistics, the … In probability theory and statistics, the normal-inverse-Wishart distribution (or Gaussian-inverse-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 covariance matrix (the inverse of the precision matrix).rix (the inverse of the precision matrix).
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Normal-inverse-Wishart distribution
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