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Questions tagged [multinomial-dirichlet-distribution]

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Posterior predictive distribution for Bernoulli (and categorical)

I'm trying to confirm something I've tried to figure out about the posterior predictive distribution for Bernoulli vs. Binomial (and categorical vs. multinomial) random variables after a Bayesian ...
Björn's user avatar
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How to fit Multinomial-Dirichlet regression for correlated compositional count data in R?

I have compositional data where $K$ compositions (the abundance of $K$ cell populations) are measured on $n$ samples at baseline and repeated at 1 or more follow-up times. The $n$ samples are divided ...
Alemu's user avatar
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Bayesian updates for Dirichlet-multinomial with Gamma prior

Let $$ \begin{aligned} X_i &\sim \text{Dir-multinom}(X\mid\lambda)\\ \lambda_{j} &\sim \text{Gamma}(\lambda_j\mid\alpha,\beta)\\ \end{aligned} $$ where $i$ iterates over observations, $j$ ...
Faydey's user avatar
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Expected value of log(gamma function(Dirichlet variable))

The following problem emerges from coordinate ascent variational inference in a mixture model with Dirichlet-Multinomial components. I want to compute the expectation of the log likelihood. Since my ...
Rylan Schaeffer's user avatar
1 vote
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Expectation maximization: does the likelihood always increase monotonically?

When working with (gaussian) mixture models, I always took it for a mathematical fact that the marginal likelihood increases with every iteration step. If it were not the case, it always meant an ...
Roger Vadim's user avatar
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Mean of Generalization of the Dirichlet Distribution

I know that if $X_{1},X_{2},...X_{n}$ are independent $\mathrm{Gamma}(\alpha_{i},\theta)$ - distributed variables (notice they all have the same scale parameter $\theta$) and $Y_{i}=\frac{X_{i}}{\sum_{...
bbecon's user avatar
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How to model proportions with a hierarchical structure?

I have thinking about how to model proportions for a problem with hierarchical structure. In the problem, I have observations of users over multiple days, where each observation is a proportion of ...
Jeff's user avatar
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How to find MLE for multinomial distribution and Expectation of X1 and X2

There are 3 types of flowers that can grow from planting a seed. $$P(\text{Daisy}) = \theta_1$$ $$P(\text{Rose}) = (1-\theta_1)\theta_2$$ $$P(\text{Sunflower}) = (1-\theta_1)(1-\theta_2)$$ The total ...
hello's user avatar
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6 votes
2 answers
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Multinomial distribution: probability that one outcome is greater than another

Consider a multinomial distribution with three outcomes. Let $x_i$ denote the number of occurences of the $i^{th}$ outcome, and the $i^{th}$ outcome occurs with probability $p_i$, $i=1,2,3$. Let $n$ ...
Greenteamaniac's user avatar
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Multinomial-dirichlet with fractional counts

Suppose a lepidopterologist wants to estimate the relative proportions of three different species of butterfly. They go out into the field and count $N$ butterflies and record the number of each ...
diagonalisable's user avatar
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How is the mode in Dirichlet-Multinomial calculated?

The mode in Dirichlet-Multinomial is $$ \mathrm{Mode}(\pi_i) = \frac{\alpha_i + x_i - 1}{\sum_{j=1}^k (\alpha_j + x_j -1)} $$ Could you point out how is it calculated please? What is the importance ...
Mosab Shaheen's user avatar
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1 answer
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What are the possible estimates of the parameters of the multinomial distribution?

The expected value of the parameters of the multinomial distribution (taking into account the Dirichlet prior $D(\alpha)$ and the posterior Dirichlet-Multinomial) is: $\pi_i = α_i+ x_i / \sum_{j} α_j+...
Mosab Shaheen's user avatar
2 votes
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Why there are not (long tail) alternatives to dirichlet-multinomial (while there are for posisson-gamma)

While there are a lot of long tail alternatives to poisson-gamma (negative binomial), for example (Source) I haven't found any work on replacing the dirichlet distribution with a more long tailed ...
Stefano Vespucci's user avatar