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I/ToC.md

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4.2. Multivariate t-distribution <br>
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&emsp;&ensp; 4.2.1. *[Definition](/D/mvt)* <br>
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&emsp;&ensp; 4.2.2. **[Relationship to F-distribution](/P/mvt-f)** <br>
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&emsp;&ensp; 4.2.2. **[Probability density function](/P/mvt-pdf)** <br>
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&emsp;&ensp; 4.2.3. **[Relationship to F-distribution](/P/mvt-f)** <br>
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4.3. Normal-gamma distribution <br>
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&emsp;&ensp; 4.3.1. *[Definition](/D/ng)* <br>

P/mvt-pdf.md

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---
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layout: proof
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mathjax: true
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author: "Joram Soch"
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affiliation: "BCCN Berlin"
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e_mail: "joram.soch@bccn-berlin.de"
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date: 2022-09-02 11:50:00
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title: "Probability density function of the multivariate t-distribution"
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chapter: "Probability Distributions"
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section: "Multivariate continuous distributions"
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topic: "Multivariate t-distribution"
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theorem: "Probability density function"
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sources:
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proof_id: "P333"
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shortcut: "mvt-pdf"
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username: "JoramSoch"
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---
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**Theorem:** Let $X$ be a [random vector](/D/rvec) following a [multivariate t-distribution](/D/mvt):
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$$ \label{eq:mvt}
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X \sim t(\mu, \Sigma, \nu) \; .
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$$
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Then, the [probability density function](/D/pdf) of $X$ is
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$$ \label{eq:mvt-pdf}
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f_X(x) = \sqrt{\frac{1}{(\nu \pi)^{n} |\Sigma|}} \, \frac{\Gamma([\nu+n]/2)}{\Gamma(\nu/2)} \, \left[ 1 + \frac{1}{\nu} (x-\mu)^\mathrm{T} \Sigma^{-1} (x-\mu) \right]^{-(\nu+n)/2} \; .
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$$
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**Proof:** This follows directly from the [definition of the multivariate t-distribution](/D/mvt).

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