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1 vote
0 answers
65 views

Power of Uniform Order Statistics

I know that if $U$ is a uniform r.v. in $(0,1)$, then $U^a\sim Beta(1/a,1)$ with $a>0$. On the other hand, if $U_{(1)}\leq \cdots\leq U_{(n)}$ are the uniform order statistics, then, with $U_{(0)}=...
Pierre's user avatar
  • 111
1 vote
0 answers
139 views

Stick-breaking construction of Dirichlet distribution vs Dirichlet process

Let $F_0$ be some probability measure and $\alpha > 0$ be the concentration parameter. I can draw a random distribution from $F\sim \mathrm{DP}(\alpha, F_0)$ using the stick-breaking construction: \...
Paweł Czyż's user avatar
2 votes
1 answer
92 views

Interpreting the quantities sampled from a Dirichlet distribution

Suppose you sample $M$ vectors from $Dirichlet_K(\alpha)$. You then show a histogram summarizing the distribution of the $M$ values that were sampled for dimension $k = 1$ (i.e. the first dimension, ...
socialscientist's user avatar
1 vote
0 answers
129 views

Dirichlet distribution parameters from known variances

Let's assume, I know the variances of Dirichlet distribution parameters. Let these variances be: $Var[X_1], ..., Var[X_n]$. Is there a analytical solution to derive the parameter value alpha_i given ...
Aku-Ville Lehtimäki's user avatar
0 votes
0 answers
174 views

Dirichlet-distribution and its correlation?

I have the following variables that follow a beta distribution: ...
turaran32's user avatar
1 vote
0 answers
61 views

On the distribution of a scaled sum of a Dirchlet random variable

Consider $(X_{1},\dots,X_{K})=X\sim \text{Dir}(\alpha)$ and a vector $v=(v_{1},\dots ,v_{K})\in\mathbb{R}^{K}$. Is there a parametric density function for the distribution of: $Xv^{T}=vX^T=\sum^{K}_{i=...
MHDZAHD93's user avatar
3 votes
0 answers
80 views

Bounding values of a Dirichlet distribution

Consider $k$ random variables $X_1, X_2, \ldots, X_k$ such that $(X_1, X_2, \ldots, X_k)$ follow a $\text{Dirichlet}(1, 1, \ldots, 1)$ distribution. For a large enough $k$, I am trying to bound/find ...
BlackHat18's user avatar
0 votes
2 answers
41 views

What Distribution Do I need?

Suppose I am drawing coloured balls from a bag. The ball can be red, green or blue. The probabilities of drawing a red, green or blue bag are uncertain, but I have confidence bounds for the ...
user847663's user avatar
-1 votes
1 answer
160 views

I want to represent x1, x2, ..., xn (where their sum =1) by Dirichlet distribution. What alpha's should I select if x1, x2,... have the same pdf

I want to represent x1, x2, ..., xn (where their sum =1) by Dirichlet distribution. What alpha's should I select if x1, x2,...,xn have the same probability density function? all 0 < xi < 1. In ...
Murali's user avatar
  • 143
3 votes
2 answers
373 views

Probability that a random variable is smaller than another in a random vector

Suppose that a random vector $X=(X_1,X_2,X_3)$ follows a Dirichlet distribution with a shape parameter $(a_1,a_2,a_3).$ What I want to calculate is the probability of $X_1>X_2$ and I want to ...
Greenteamaniac's user avatar
0 votes
1 answer
230 views

Definition of distribution conditioned on both a categorical and Dirichlet prior

If we have a conditional categorical distribution, with unknown parameters, we can represent with a table, as in the example below: \begin{align*} &z \quad P(z|\theta)\\ &0 \quad \theta_0\\ &...
ejlouw's user avatar
  • 191
2 votes
1 answer
568 views

Normalization constant for uniform distribution over categorical distributions

Suppose we have a uniform distribution over all categorical distributions p for m categories, where the pdf has the form $$ f(x) = \left\{\begin{aligned} &c, && 0 \le p_i \le 1, i = 1, ......
minch's user avatar
  • 161
2 votes
0 answers
229 views

Calculate Variance from Dirichlet-like Distribution Empirically

I'm interested in the proportion of time that a sensor is in a particular state. The sensor tells me the amount of time that it's in each state, which I will denote by $X = \{ X_1, X_2, X_3\}$. I ...
user13317's user avatar
  • 675
1 vote
0 answers
269 views

Entropy of Dirichlet distributed vector

Suppose I have two Dirichlet distributed vectors $X$ and $Y$ such that $ X \sim \text{Dirichlet}(\alpha) $, $ Y \sim \text{Dirichlet}(\beta) $ with fixed vectors of hyperparameters $\alpha$ and $\beta$...
Konstantin Sidorov's user avatar
2 votes
0 answers
73 views

Is 1 - Dirichlet variable also a Dirichlet?

Just a simple question regarding the properties of Dirichlet distribution: Suppose $(X_1, \ldots, X_K) \sim Dir(\alpha_1, \ldots, \alpha_K)$, can we express the distribution for $(1-X_1, \ldots, 1-...
Yue Li's user avatar
  • 31

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