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1 vote
0 answers
138 views

Marginal density of dirichlet distribution

I'm studying BRML. In this book, a Dirichlet distribution is defined as $$ p(\alpha | u) = \frac{\Gamma(\sum_{q=1}^Q u_q)}{\prod_{q=1}^Q \Gamma(u_q)} \delta_0 \left( \sum_{q=1}^{Q} \alpha_q - 1 \right)...
yeomjy's user avatar
  • 11
5 votes
1 answer
668 views

Deriving the marginal multivariate Dirichlet distribution

I am trying to understand how my professor (see derivation below) has derived the multivariate marginal distribution of a subvector of $\theta_j$´s from a Dirichlet distribution. I understand ...
xxtensionxx's user avatar
3 votes
1 answer
1k views

From beta distribution to Dirichlet: Estimation of the concentrantion parameters

Searching at least 3 hours about the connection between beta distribution and dirichlet. My problem is: I have a collection of random variables $X_i \sim Beta(a_i, b_i)$. The parameters $a_i$ and $...
AlexandrosB's user avatar
1 vote
0 answers
113 views

Marginal medians of the Dirichlet distribution

I am working with a 3 dimensional Dirichlet distribution with parameters $\alpha_1,\alpha_2,\alpha_3>0$. I have been trying to figure out a useful 'median' concept for this distribution. The vector ...
Brian Powers's user avatar
2 votes
1 answer
667 views

Why is the mode of the Dirichlet not the same as the modes of its marginals?

The mode of a Dirichlet distribution with parameters $\alpha_1, \alpha_2, \ldots \alpha_N$, $\alpha_i > 1$ is: $$x_i = \frac{\alpha_i - 1}{\alpha_0 - N}$$. Where $\alpha_0 = \sum_k{\alpha_k}$. ...
fouronnes's user avatar
0 votes
1 answer
680 views

Multivariate marginal Dirichlet distribution

For a vector $X = (x_1, \dots, x_m)$, let $\mathcal{C}(X) = \frac{1}{x_1+\dots+x_m}(x_1, \dots, x_m)$. If $(X_a, X_b)$ follows a Dirichlet distribution with parameters $(\alpha_{a_1}, \dots, \alpha_{...
marc1s's user avatar
  • 322
4 votes
0 answers
114 views

what is this property? $\int p(x,\pi)d\pi=p(x|E[\pi])$?

Sorry if the title does not make sense, from the answer of this question Mistake in derivation about categorical distribution and Dirichlet distribution? it can be shown that say $p(x|\pi)$ follows ...
dontloo's user avatar
  • 16.6k
1 vote
1 answer
380 views

Mistake in derivation about categorical distribution and Dirichlet distribution?

$p(x|\pi)$ follows the categorical distribution (the multinomial with one observation), where $\sum\pi_i=1$ and $x$ is a one-hot vector, and $p(\pi|\alpha)$ follows the Dirichlet distribution. $p(x|\...
dontloo's user avatar
  • 16.6k
10 votes
1 answer
1k views

Marginal probability function of the Dirichlet-Multinomial distribution

I can't seem to find a written out derivation for the marginal probability function of the compound Dirichlet-Multinomial distribution, though the mean and variance/covariance of the margins seem to ...
zzk's user avatar
  • 101