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FIX: edits for LaTeX compatibility (#262)
* fix align in equation * fix tag
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lectures/likelihood_bayes.md

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@@ -465,10 +465,12 @@ $$
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Notice that
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$$
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\eqalign{ E(\pi_t | \pi_{t-1}) & = \int \Bigl[ { \pi_{t-1} f(w) \over \pi_{t-1} f(w) + (1-\pi_{t-1})g(w) } \Bigr]
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\begin{aligned}
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E(\pi_t | \pi_{t-1}) & = \int \Bigl[ { \pi_{t-1} f(w) \over \pi_{t-1} f(w) + (1-\pi_{t-1})g(w) } \Bigr]
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\Bigl[ \pi_{t-1} f(w) + (1-\pi_{t-1})g(w) \Bigr] d w \cr
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& = \pi_{t-1} \int f(w) dw \cr
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& = \pi_{t-1}, \cr}
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& = \pi_{t-1}, \cr
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\end{aligned}
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$$
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so that the process $\pi_t$ is a **martingale**.
@@ -547,7 +549,7 @@ $$
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Applying the above formula to $\pi_\infty$, we obtain
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$$
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E_{-1} \pi_\infty(\omega) = \pi_{-1} \tag{20}
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E_{-1} \pi_\infty(\omega) = \pi_{-1}
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$$
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where the mathematical expectation $E_{-1}$ here is taken with respect to the probability

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