diff --git a/book/src/pcc/depprob.md b/book/src/pcc/depprob.md index b76a1252..3e0aae0c 100644 --- a/book/src/pcc/depprob.md +++ b/book/src/pcc/depprob.md @@ -22,7 +22,7 @@ graph TD; - all three columns will be in the same view since Z is dependent on both X and Y, so there will be a high dependence probability between X and Y even though they are statistically dependent, but they are dependent given Z. + all three columns will be in the same view since Z is dependent on both X and Y, so there will be a high dependence probability between X and Y even though they are statistically independent, but they are dependent given Z. Dependence probability is the go-to for structure modeling because it is fast to compute and well-behaved for all data. If you need more information about the strength of dependencies, use mutual information.