Minor text fixes

TuringLang · Jan 26, 2025 · 75e0c5b · 75e0c5b
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diff --git a/developers/transforms/bijectors/index.qmd b/developers/transforms/bijectors/index.qmd
@@ -307,3 +307,5 @@ println("mean: $(mean(samples_questionable_untransformed))")
 ```
 
 You can see that even though we used ten times more samples, the mean is quite wrong, which implies that our samples are not being drawn from the correct distribution.
+
+In the next page, we'll see how to use these transformations in the context of a probabilistic programming language, paying particular attention to their handling in DynamicPPL.
diff --git a/developers/transforms/distributions/index.qmd b/developers/transforms/distributions/index.qmd
@@ -311,5 +311,4 @@ Hence $y_1$, which is the product of these two terms, ranges from $-\infty$ to $
 So the image of $f$ is the entire real plane, and we don't have to worry about this.
 :::
 
-
-## Bijectors.jl
+Having seen the theory that underpins how distributions can be transformed, let's now turn to how this is implemented in the Turing ecosystem.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -307,3 +307,5 @@ println("mean: $(mean(samples_questionable_untransformed))")
		```

		You can see that even though we used ten times more samples, the mean is quite wrong, which implies that our samples are not being drawn from the correct distribution.

		In the next page, we'll see how to use these transformations in the context of a probabilistic programming language, paying particular attention to their handling in DynamicPPL.