Maximum likelihood estimation (MLE) is a widely used probabilistic method for estimating the parameters of a logistic regression model. MLE selects the model parameter values that maximize the ...

In our example of simple linear ... estimates in logistic regression are found iteratively via minimization of the negative log likelihood. In most cases, the maximum-likelihood estimates are ...