diff --git a/examples/Distributions/EquiprobableLognormal.ipynb b/examples/Distributions/EquiprobableLognormal.ipynb
index 56b5bac6a..4e7eea119 100644
--- a/examples/Distributions/EquiprobableLognormal.ipynb
+++ b/examples/Distributions/EquiprobableLognormal.ipynb
@@ -139,8 +139,8 @@
       "1.0000000002309708\n",
       "1.0000000000008682\n",
       "0.9999999999848911\n",
-      "CPU times: total: 781 ms\n",
-      "Wall time: 2.32 s\n"
+      "CPU times: total: 625 ms\n",
+      "Wall time: 2.33 s\n"
      ]
     }
    ],
@@ -172,24 +172,20 @@
    "metadata": {},
    "outputs": [
     {
-     "ename": "ValueError",
-     "evalue": "This method is only implemented for bivariate distributions. For general distributions, use the approx_equiprobable method instead.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "File \u001b[1;32m<timed exec>:3\u001b[0m\n",
-      "File \u001b[1;32mc:\\Users\\sidda\\OneDrive\\Ashoka\\RA\\EconARK\\Repo\\HARK\\HARK\\distribution.py:1012\u001b[0m, in \u001b[0;36mMVLogNormal.bv_approx_equiprobable\u001b[1;34m(self, N)\u001b[0m\n\u001b[0;32m    996\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    997\u001b[0m \u001b[38;5;124;03mMakes a discrete approximation using the equiprobable method to this bivariate lognormal distribution.\u001b[39;00m\n\u001b[0;32m    998\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   1008\u001b[0m \u001b[38;5;124;03m    points for discrete probability mass function.\u001b[39;00m\n\u001b[0;32m   1009\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m   1011\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mM \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m2\u001b[39m:\n\u001b[1;32m-> 1012\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m   1013\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThis method is only implemented for bivariate distributions. For general distributions, use the approx_equiprobable method instead.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1014\u001b[0m     )\n\u001b[0;32m   1016\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray_equal(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mSigma, np\u001b[38;5;241m.\u001b[39mdiag(np\u001b[38;5;241m.\u001b[39mdiag(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mSigma))):\n\u001b[0;32m   1017\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mSigma[\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0.0\u001b[39m:\n",
-      "\u001b[1;31mValueError\u001b[0m: This method is only implemented for bivariate distributions. For general distributions, use the approx_equiprobable method instead."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "This method is only implemented for bivariate distributions. For general distributions, use the approx_equiprobable method instead.\n"
      ]
     }
    ],
    "source": [
     "N = 10\n",
     "\n",
-    "X_approx = X.bv_approx_equiprobable(N)\n",
-    "\n",
-    "X_approx.expected()"
+    "try:\n",
+    "    X_approx = X.bv_approx_equiprobable(N)\n",
+    "except Exception as e:\n",
+    "    print(e)"
    ]
   },
   {
@@ -208,8 +204,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: total: 15.6 ms\n",
-      "Wall time: 78.2 ms\n"
+      "CPU times: total: 31.2 ms\n",
+      "Wall time: 91.6 ms\n"
      ]
     },
     {