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[PS] Start rewrite of max likelihood section
Also adds various small quality of life improvements and simpler explanations
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@@ -40,7 +40,7 @@ $\forall k \in \{ 1, \ldots, n \}$ und $\forall x \in W_k$ gilt:
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F_{\cX_k}(x) = \lim_{\elementstack{x_l \rightarrow \8}{l \in \{ 1, \ldots, n \} \backslash \{ k \}}} F(x_1, \ldots, x_{k - 1}, x, x_{k + 1}, \ldots, x_n)
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\]
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\shorttheorem[Erwartungswert Bild] (Solange Summe wohldefiniert ist, summieren über $x_1 \in W_1, \ldots, x_n \in W_n$)
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\shorttheorem[Erwartungswert Bild] (Solange $\Sigma$ wohldef, summieren über $x_1 \in W_1, \ldots, x_n \in W_n$), siehe rechts für details
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\[
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\E[\varphi(\cX_1, \ldots, \cX_n)] = \sum_{x_1, \ldots, x_n} \varphi(x_1, \ldots, x_n) p(x_1, \ldots, x_n)
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\]
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@@ -49,5 +49,5 @@ $\forall k \in \{ 1, \ldots, n \}$ und $\forall x \in W_k$ gilt:
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\begin{itemize}
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\item $\cX_1, \ldots, \cX_n$ sind unabhängig
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\item $\forall x_1 \in W_1, \ldots, x_n \in W_n$ gilt (prod. Randv. von $\cX_i$)
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\[ p(x_1, \ldots, x_n) = \P[\cX_1 = x_1] \cdot \ldots \cdot \P[\cX_n = x_n] \]
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\[ p(x_1, \ldots, x_n) = \P[\cX_1 = x_1] \cdot \ldots \cdot \P[\cX_n = x_n] \]
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\end{itemize}
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