Asymptotically, sample proportions from a multinomial distribution converge in distribution to a multivariate normal distribution with a singular negative product correlation structure. Based on this ...
This type of model applies to cases where an observation can fall into one of k categories. Binary data occurs in the special case where k=2. If there are m i observations in a subpopulation i, then ...
The differences between neural network binary classification and multinomial classification are surprisingly tricky. McCaffrey looks at two approaches to implement neural network binary classification ...
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