statsmodels.miscmodels.tmodel.TLinearModel.nloglikeobs¶
-
TLinearModel.nloglikeobs(params)[source]¶ Loglikelihood of linear model with t distributed errors.
- Parameters
- params
ndarray The parameters of the model. The last 2 parameters are degrees of freedom and scale.
- params
- Returns
- loglike
ndarray The log likelihood of the model evaluated at params for each observation defined by self.endog and self.exog.
- loglike
Notes
\[\ln L=\sum_{i=1}^{n}\left[-\lambda_{i}+y_{i}x_{i}^{\prime}\beta-\ln y_{i}!\right]\]The t distribution is the standard t distribution and not a standardized t distribution, which means that the scale parameter is not equal to the standard deviation.
self.fixed_params and self.expandparams can be used to fix some parameters. (I doubt this has been tested in this model.)