statsmodels.discrete.discrete_model.Poisson.hessian_factor¶
- Poisson.hessian_factor(params)[source]¶
 Poisson model Hessian factor
- Parameters:¶
 - paramsarray_like
 The parameters of the model
- Returns:¶
 - hess
ndarray, (nobs,) The Hessian factor, second derivative of loglikelihood function with respect to the linear predictor evaluated at params
- hess
 
Notes
\[\frac{\partial^{2}\ln L}{\partial\beta\partial\beta^{\prime}}=-\sum_{i=1}^{n}\lambda_{i}\]where the loglinear model is assumed
\[\ln\lambda_{i}=x_{i}\beta\]
  
    
      Last update:
      Jun 10, 2024