def _updateHiddenStateTrajectories(self):
        """Sample a new set of state trajectories from the conditional distribution P(S | T, E, O)

        """
        self.model.hidden_state_trajectories = list()
        for trajectory_index in range(self.nobs):
            hidden_state_trajectory = self._sampleHiddenStateTrajectory(self.observations[trajectory_index])
            self.model.hidden_state_trajectories.append(hidden_state_trajectory)
        return
def _updateHiddenStateTrajectories ( self ) : self . model . hidden_state_trajectories = list ( ) for trajectory_index in range ( self . nobs ) : hidden_state_trajectory = self . _sampleHiddenStateTrajectory ( self . observations [ trajectory_index ] ) self . model . hidden_state_trajectories . append ( hidden_state_trajectory ) return
Sample a new set of state trajectories from the conditional distribution P(S | T, E, O)