Olga edited Methods Description.tex  over 9 years ago

Commit id: e841abdd2d9b82c81297c4f16f614c44684df51c

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