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-rw-r--r--posts/2019-02-14-raise-your-elbo.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/posts/2019-02-14-raise-your-elbo.md b/posts/2019-02-14-raise-your-elbo.md
index d08444d..bcda1d2 100644
--- a/posts/2019-02-14-raise-your-elbo.md
+++ b/posts/2019-02-14-raise-your-elbo.md
@@ -344,7 +344,7 @@ Now the model becomes
$$p(x_{\ell, i} | d_{\ell, i} = \ell; \theta) = \sum_k p(x_{\ell, i} | z_{\ell, i} = k; \theta) p(z_{\ell, i} = k | d_{\ell, i} = \ell; \theta).$$
Since we have regrouped the $x$'s and $z$'s whose indices record the values
-of the $d$'s, we can remove $d$ from the equation altogether.
+of the $d$'s, we can remove the $d$'s from the equation altogether:
$$p(x_{\ell, i}; \theta) = \sum_k p(x_{\ell, i} | z_{\ell, i} = k; \theta) p(z_{\ell, i} = k; \theta).$$