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$P(z_1) = p, P(z_2) = 1-p $  Marginal likelihood: $L(\mathbf{\theta};\textbf{x};\textbf{\z})=P(\textbf{x},\textbf{z}|\theta)=\prod\limits__{i=1}^n P(Z_i=z_i)f(x_i|\mu_z_i, \sigma^2_z_i})$ \sigma^2_z_i)$  \subsection{Excess-mass method (EMM)} \label{sec:methods-emm}