deletions | additions       diff --git a/Methods Description.tex b/Methods Description.tex  index 56b5626..a1e2859 100644  --- a/Methods Description.tex  +++ b/Methods Description.tex 
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$\theta = (\mu_{1},\mu_{2}, \sigma_{1}, \sigma_{2}, p)$  $z_j$ $\textbf{z}=(z_1, z_2) categorical vector, where z_j$  categorical vector $j = 1,2$$x_i \sim N(\mu_{z_j}, \sigma^2_{z_j})$ observations $i = 1,...,N$  $\textbf{x}=(x_1,...,x_N) vector of observations, where x_i \sim N(\mu_{z_j}, \sigma^2_{z_j})$  Expactation-Maximization method consists of E-step and M-step.