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1 parent 9cedb95 commit 9a9f3a2Copy full SHA for 9a9f3a2
src/stan-users-guide/posterior-prediction.Rmd
@@ -48,7 +48,7 @@ p(\tilde{y} \mid y)
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\frac{1}{M} \sum_{m = 1}^M p(\tilde{y} \mid \theta^{(m)}).
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$$
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-Computing directly using tis formula will lead to underflow in many
+Computing directly using this formula will lead to underflow in many
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situations, but the log posterior predictive density, $\log
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p(\tilde{y} \mid y)$ may be computed using the stable log sum of
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exponents function as
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