DOC Fix headings of hierarchical binomial example.

Author: twiecki

docs/source/notebooks/GLM-hierarchical-binominal-model.ipynb

@@ -65,7 +65,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# A Directly Computed Solution\n",
+    "## A Directly Computed Solution\n",
     "\n",
     "Our joint posterior distribution is\n",
     "\n",
@@ -263,7 +263,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Computing the Posterior using PyMC3\n",
+    "## Computing the Posterior using PyMC3\n",
     "\n",
     "Computing the marginal posterior directly is a lot of work, and is not always possible for sufficiently complex models. \n",
     "\n",
@@ -415,7 +415,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Conclusion\n",
+    "## Conclusion\n",
     "\n",
     "Analytically calculating statistics for posterior distributions is difficult if not impossible for some models.  Pymc3 provides an easy way drawing samples from your model's posterior with only a few lines of code.  Here, we used pymc3 to obtain estimates of the posterior mean for the rat tumor example in chapter 5 of BDA3. The estimates obtained from pymc3 are encouragingly close to the estimates obtained from the analytical posterior density."
    ]
@@ -424,7 +424,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# References\n",
+    "## References\n",
     "\n",
     "1. Gelman, Andrew, et al. *Bayesian Data Analysis*. CRC Press, 2013."
    ]