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Ok While studying naive Bayes I came across this question and from the accepted answer I reach to this blog. While reading this blog I got a clear idea of how Bernoulli distribution turns to (generalize to ) Binomial Distribution, Multinoulli distribution, and Multinomial distribution. But here I came across to Multivariate Bernoulli Distribution which I tried to understand from the same point of view as to how Bernoulli distribution turns to (generalize to) Binomial Distribution, Multinoulli distribution, and Multinomial distribution, but fail, I am confused. Now Please can anyone tell me how Multivariate Bernoulli Distribution is different from others especially when multiple variables are independent.

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