For completeness, we also derive the CEM algorithm for the continuous
hidden variable case. In Equation 7.12 we
present the analog to the above Q function bound on conditional
likelihood for continuous hidden variables (). The derivation
mirrors that of the discrete hidden variable case except that
summations over the hidden data are replaced with integration. We
apply Jensen's inequality and the linear upper bound on the logarithm
to obtain a Q function as before.