Multinomial(N, theta, I)
Returns the Multinomial Distribution.
The multinomial distribution is a generalization of the Binomial distribution to «N» possible outcomes. For example, if you were to roll a fair die «N» times, an outcome would be the number of times each of the six numbers appears. Theta would be the probability of each outcome, where
Sum(theta, I) = 1, and index «I» is the list of possible outcome. If «theta» doesn't sum to 1, it is normalized.
Each sample is a vector indexed by «I» indicating the number of times the corresponding outcome (die number) occurred during that sample point. Each sample will have the property that
Sum(result, I) = N.
- Multinomial(N, theta: postiive; I: Index)
Multivariate Distributions library functions (Multivariate Distributions.ana)
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