We can approximate the distribution in equation 5 by replacing the discrete labels, , with continuous weights vectors, :

where are the global class proportion parameters defined in equation 4 and represent the proportion of each class in the mixture model, and is given by equations 10-12. Note that when we infer on the posterior, will depend upon in same way that depends on in the discrete labels mixture model.