statsmodels.discrete.discrete_model.Poisson.hessian

Poisson.hessian(params)[source]

Poisson model Hessian matrix of the loglikelihood

Parameters:
paramsarray_like

The parameters of the model

Returns:
hessndarray, (k_vars, k_vars)

The Hessian, second derivative of loglikelihood function, evaluated at params

Notes

\[\frac{\partial^{2}\ln L}{\partial\beta\partial\beta^{\prime}}=-\sum_{i=1}^{n}\lambda_{i}x_{i}x_{i}^{\prime}\]

where the loglinear model is assumed

\[\ln\lambda_{i}=x_{i}\beta\]

Last update: Jun 14, 2024