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0 votes
0 answers
13 views

Mapping two Dirichlet Distributions into a comparative Dirichlet

Assume I observe some draws from 2 choice options, and want to infer the probabilities of various outcomes, e.g. non-negative integers up to a limit L. I could simply use 2 Dirichlet distributions to ...
Max Montana's user avatar
1 vote
0 answers
72 views

Zero-Inflated Dirichlet

I want to set up a model that will rely on something similar to a zero-inflated Dirichlet distribution. As such, I'm trying to figure out how a zero-inflated Dirichlet distribution is set up from the ...
Faydey's user avatar
  • 225
0 votes
0 answers
34 views

Do you know if this re-scaled Dirichlet kernel is known in the literature? How to sample from it?

In a Bayesian analysis, I came across the following distribution that results ends up looking like a re-scaled Dirichlet distribution. The motivation comes from looking at probabilities $x_1, \ldots, ...
Santiago's user avatar
1 vote
0 answers
97 views

Advice on how to solve a constrained KL Divergence problem between a Dirichlet and a Logistic Normal

I would like some advice or path to follow to solve the following problem. Consider a random variable $Y$ that follows a Dirichlet distribution $Y \sim Dir(\alpha)$. Let $X$ be a member of the ...
Javier's user avatar
  • 76
1 vote
1 answer
96 views

Concentration Bounds for categorial distribution with good Dirichlet prior

I would like to know if there are any standard methods for analyzing the concentration bounds (for example Hoeffding's bound) for a multinomial distribution modelled with a Dirichlet prior, with the ...
Snowball's user avatar
  • 131
4 votes
1 answer
1k views

How to visualize Dirichlet distribution (with more than 3 targets)?

I want to plot a Dirichlet distribution $\operatorname{Dir}(\alpha), \alpha=[\alpha_1, \alpha_2, \ldots,\alpha_n]$. However, when I google it, almost all of the results consider 3 targets ($n=3$), and ...
Guanjie Huang's user avatar
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
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
1 answer
1k views

Bayesian smoothing using Dirichlet prior : why not MAP?

I am reading about smoothing methods for language model ( I am working on unigram model). If you are not familiar with unigram model, it is closely related to multinomial distribution (with the ...
ComSicial's user avatar
4 votes
1 answer
547 views

L1 distance between Dirichlet distributions

Given two Dirichlet distributions $\mu_{\alpha},\mu_{\beta}$ on the k-simplex, with parameters $\alpha = (\alpha_1,\ldots,\alpha_k)$ and $\beta = (\beta_1,\ldots,\beta_k)$, is there an expression for ...
komark's user avatar
  • 103
4 votes
1 answer
4k views

stick breaking model of Dirichlet process

I have a question regarding sticking-breaking model of Dirichlet process, which is defined as follows: There are further statements that I am not clear that how to derive equation 1 from that ...
user3269's user avatar
  • 5,222