Random guess: a logistic regression is fit by maximizing a particular log likelihood. [+] You can find the maximum by (1) gradient ascent, or (2) the analogue

Random guess: a logistic regression is fit by maximizing a particular log likelihood. [+] You can find the maximum by (1) gradient ascent, or (2) the analogue of Newton's method in multiple dimensions [++], which involves computing the Hessian matrix. So there's your Hessian. [+] https://en.wikipedia.org/wiki/Logistic_regression#Model_fitting https://en.wikipedia.org/wiki/Logistic_regression#Model_fitt... [++] https://en.wikipedia.org/wiki/Newton%27s_method_in_optimization#Higher_dimensions https://en.wikipedia.org/wiki/Newton%27s_method_in_optimizat...