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What is the best way to model a categorical distribution in Mathematica?

Posted 11 years ago
What is the best way to model a categorical (generalized bernoulli) distribution in Mathematica? Maybe it is built in under a different name. If so, what is the name?

One possibility is to use a multinomial distribution for a single observation, but this a hack. Are there better (cleaner) solutions?
POSTED BY: Brad Black
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Posted 11 years ago
Thanks for the reply Sean.

I will look into the possibility of using an empirical distribution in Mathematica to model a categorical distribution. They not the same thing by definition, but it may be a better soution than using the mulitnomial.

Note: A categorical distribution is a generalization of a bernoulii distribution. Where are bernoulli distribution models two categores the categorical distribution models "k" categories. My intestest is tied to doing Bayesian statistics.
POSTED BY: Brad Black
Please see this post on Stackexchange which convers the same topic.

I'm not familiar with this term, but it appears to be something like an empirical distribution. 
POSTED BY: Sean Clarke
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