diff --git a/notebooks/trend_changepoints.ipynb b/notebooks/trend_changepoints.ipynb
index 7eac28c..80083a1 100644
--- a/notebooks/trend_changepoints.ipynb
+++ b/notebooks/trend_changepoints.ipynb
@@ -314,6 +314,13 @@
     "fig = m.plot(forecast)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A recommended starting range for `changepoint_prior_scale` would be between 0.001 and 1, although this is data dependant. Depending on how many changepoints are specified, 1 would likely be effectively unregularized. A random search for $x$ in logarithmic scale (.e.g. between -3 and 0) using the `cross_validation` function for diagnostics, along with visual inspection of the plot would help determine the optimal $x$ for the prior. The actual prior scale can then be computed as $10^{x}$"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -386,21 +393,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.14+"
+   "pygments_lexer": "ipython3",
+   "version": "3.7.4"
   }
  },
  "nbformat": 4,