Multinomial Random Variable

A Multinomial Random Variable is a Categorical Random Variable with more than two values.

• Context:
  • It can be represented by a Multinomial Probability Function.
  • …
• Counter-Example(s):
  • a Binary Random Variable.
• See: Continuous Random Variable, Multinomial Random Trial.

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References

2003

• (Blei, Ng & Jordan, 2003) ⇒ David M. Blei, Andrew Y. Ng , and Michael I. Jordan. (2003). “Latent Dirichlet Allocation.” In: The Journal of Machine Learning Research, 3.
  • QUOTE: The pLSI approach, which we describe in detail in Section 4.3, models each word in a document as a sample from a mixture model, where the mixture components are multinomial random variables that can be viewed as representations of “topics.” Thus each word is generated from a single topic, and different words in a document may be generated from different topics.

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