Logit model Hessian matrix of the log-likelihood
Parameters : | params : array-like
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Returns : | The Hessian evaluated at `params` : |
Notes
\frac{\partial^{2}\ln L}{\partial\beta\partial\beta^{\prime}}=-\sum_{i}\Lambda_{i}\left(1-\Lambda_{i}\right)x_{i}x_{i}^{\prime}