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Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression

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Logit analysis of binomial response in contigency tables with > 2 categorical predictors

I know in the general case MLE estimates of logistic regression coefficients require an optimization algorithm, but for discrete independent predictors, maybe that's not the case? … They are independent categorical predictors of Y, each with three levels, such that a logistic regression model predicting Y would have no interactions. …
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2 votes
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When is logistic regression minimizing under squared error loss the same as maximizing binom... [duplicate]

Implementing logistic regression and getting different results depending on whether I minimize squared error or maximize log likelihood. When are the two equivalent? …
Count Zero's user avatar
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