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statsmodels.discrete.discrete_model.Poisson.jac

Poisson.jac(params)[source]

Poisson model Jacobian of the log-likelihood for each observation

Parameters:

params : array-like

The parameters of the model

Returns:

The score vector of the model evaluated at `params` :

Notes

\frac{\partial\ln L}{\partial\beta}=\sum_{i=1}^{n}\left(y_{i}-\lambda_{i}\right)x_{i}

where the loglinear model is assumed

\ln\lambda_{i}=X\beta

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