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- Q17098779 subject Q7485313.
- Q17098779 subject Q8646045.
- Q17098779 subject Q8794763.
- Q17098779 abstract "In statistics, the matrix t-distribution (or matrix variate t-distribution) is the generalization of the multivariate t-distribution from vectors to matrices. The matrix t-distribution shares the same relationship with the multivariate t-distribution that the matrix normal distribution shares with the multivariate normal distribution. For example, the matrix t-distribution is the compound distribution that results from sampling from a matrix normal distribution having sampled the covariance matrix of the matrix normal from an inverse Wishart distribution.In a Bayesian analysis of a multivariate linear regression model based on the matrix normal distribution, the matrix t-distribution is the posterior predictive distribution.".
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- Q17098779 wikiPageWikiLink Q1149000.
- Q17098779 wikiPageWikiLink Q12483.
- Q17098779 wikiPageWikiLink Q1289366.
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- Q17098779 wikiPageWikiLink Q17157111.
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- Q17098779 wikiPageWikiLink Q3179293.
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- Q17098779 wikiPageWikiLink Q3258368.
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- Q17098779 wikiPageWikiLink Q4820795.
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- Q17098779 wikiPageWikiLink Q6935136.
- Q17098779 wikiPageWikiLink Q6935144.
- Q17098779 wikiPageWikiLink Q7234227.
- Q17098779 wikiPageWikiLink Q7485313.
- Q17098779 wikiPageWikiLink Q822139.
- Q17098779 wikiPageWikiLink Q8646045.
- Q17098779 wikiPageWikiLink Q8794763.
- Q17098779 comment "In statistics, the matrix t-distribution (or matrix variate t-distribution) is the generalization of the multivariate t-distribution from vectors to matrices. The matrix t-distribution shares the same relationship with the multivariate t-distribution that the matrix normal distribution shares with the multivariate normal distribution.".
- Q17098779 label "Matrix t-distribution".