The unnormalized log posterior components (the quantity we want to approximate)
        RAO-BLACKWELLIZED!

def log_p(self,z):
        """
        The unnormalized log posterior components (the quantity we want to approximate)
        RAO-BLACKWELLIZED!
        """      
        return np.array([self.log_p_blanket(i) for i in z])