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454454 4.2. Multivariate t-distribution <br >
455455 &emsp ;&ensp ; 4.2.1. * [ Definition] ( /D/mvt ) * <br >
456- &emsp ;&ensp ; 4.2.2. ** [ Relationship to F-distribution] ( /P/mvt-f ) ** <br >
456+ &emsp ;&ensp ; 4.2.2. ** [ Probability density function] ( /P/mvt-pdf ) ** <br >
457+ &emsp ;&ensp ; 4.2.3. ** [ Relationship to F-distribution] ( /P/mvt-f ) ** <br >
457458
458459 4.3. Normal-gamma distribution <br >
459460 &emsp ;&ensp ; 4.3.1. * [ Definition] ( /D/ng ) * <br >
Original file line number Diff line number Diff line change 1+ ---
2+ layout : proof
3+ mathjax : true
4+
5+ author : " Joram Soch"
6+ affiliation : " BCCN Berlin"
7+ e_mail : " joram.soch@bccn-berlin.de"
8+ date : 2022-09-02 11:50:00
9+
10+ title : " Probability density function of the multivariate t-distribution"
11+ chapter : " Probability Distributions"
12+ section : " Multivariate continuous distributions"
13+ topic : " Multivariate t-distribution"
14+ theorem : " Probability density function"
15+
16+ sources :
17+
18+ proof_id : " P333"
19+ shortcut : " mvt-pdf"
20+ username : " JoramSoch"
21+ ---
22+
23+
24+ ** Theorem:** Let $X$ be a [ random vector] ( /D/rvec ) following a [ multivariate t-distribution] ( /D/mvt ) :
25+
26+ $$ \label{eq:mvt}
27+ X \sim t(\mu, \Sigma, \nu) \; .
28+ $$
29+
30+ Then, the [ probability density function] ( /D/pdf ) of $X$ is
31+
32+ $$ \label{eq:mvt-pdf}
33+ f_X(x) = \sqrt{\frac{1}{(\nu \pi)^{n} |\Sigma|}} \, \frac{\Gamma([\nu+n]/2)}{\Gamma(\nu/2)} \, \left[ 1 + \frac{1}{\nu} (x-\mu)^\mathrm{T} \Sigma^{-1} (x-\mu) \right]^{-(\nu+n)/2} \; .
34+ $$
35+
36+
37+ ** Proof:** This follows directly from the [ definition of the multivariate t-distribution] ( /D/mvt ) .
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