diff --git a/src/pyhgf/updates/posterior/continuous.py b/src/pyhgf/updates/posterior/continuous.py
index 8ccfdf1dc..9a3968a63 100644
--- a/src/pyhgf/updates/posterior/continuous.py
+++ b/src/pyhgf/updates/posterior/continuous.py
@@ -131,8 +131,10 @@ def posterior_update_mean_continuous_node(
             # expected precisions from the value children
             # sum the precision weigthed prediction errors over all children
             value_precision_weigthed_prediction_error += (
-                (value_coupling * attributes[value_child_idx]["expected_precision"])
-                / node_precision
+                (
+                    (value_coupling * attributes[value_child_idx]["expected_precision"])
+                    / node_precision
+                )
             ) * value_prediction_error
 
     # Volatility coupling updates - update the mean of a volatility parent
@@ -286,14 +288,10 @@ def posterior_update_precision_continuous_node(
             edges[node_idx].value_children,  # type: ignore
             attributes[node_idx]["value_coupling_children"],
         ):
+            # cancel the prediction error if the child value was not observed
             precision_weigthed_prediction_error += (
                 value_coupling**2 * attributes[value_child_idx]["expected_precision"]
-            )
-
-            # cancel the prediction error if the child value was not observed
-            precision_weigthed_prediction_error *= attributes[value_child_idx][
-                "observed"
-            ]
+            ) * attributes[value_child_idx]["observed"]
 
     # Volatility coupling updates - update the precision of a volatility parent
     # -------------------------------------------------------------------------
@@ -313,6 +311,7 @@ def posterior_update_precision_continuous_node(
             ]
 
             # sum over all volatility children
+            # cancel the prediction error if the child value was not observed
             precision_weigthed_prediction_error += (
                 0.5 * (volatility_coupling * effective_precision) ** 2
                 + (volatility_coupling * effective_precision) ** 2
@@ -321,12 +320,7 @@ def posterior_update_precision_continuous_node(
                 * volatility_coupling**2
                 * effective_precision
                 * volatility_prediction_error
-            )
-
-            # cancel the prediction error if the child value was not observed
-            precision_weigthed_prediction_error *= attributes[volatility_child_idx][
-                "observed"
-            ]
+            ) * attributes[volatility_child_idx]["observed"]
 
     # Compute the new posterior precision
     # using value prediction errors from both value and volatility coupling