rebase, add cross-references and bibliography

Author: OriolAbril

examples/pymc3_howto/data_container.ipynb

@@ -8,7 +8,7 @@
     "# Using shared variables (`Data` container adaptation)\n",
     "\n",
     ":::{post} Dec 16, 2021\n",
-    ":tags: shared data, predictions, posterior predictive\n",
+    ":tags: posterior predictive, predictions, pymc3.Bernoulli, pymc3.Data, pymc3.Deterministic, pymc3.HalfNormal, pymc3.Model, pymc3.Normal, shared data\n",
     ":category: beginner\n",
     ":author: Juan Martin Loyola, Kavya Jaiswal, Oriol Abril\n",
     ":::"
@@ -1130,7 +1130,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This example is taken from Osvaldo Martin's book: [Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition](https://www.amazon.com/Bayesian-Analysis-Python-Introduction-probabilistic-ebook/dp/B07HHBCR9G)."
+    "This example is taken from Osvaldo Martin's book: [Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition](https://www.amazon.com/Bayesian-Analysis-Python-Introduction-probabilistic-ebook/dp/B07HHBCR9G) {cite:p}`martin2018bayesian`."
    ]
   },
   {
@@ -1465,6 +1465,17 @@
     "* Updated by [Kavya Jaiswal](https://github.com/KavyaJaiswal) and [Oriol Abril](https://github.com/OriolAbril) in December, 2021 ([pymc-examples#151](https://github.com/pymc-devs/pymc-examples/pull/151))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## References\n",
+    "\n",
+    ":::{bibliography}\n",
+    ":filter: docname in docnames\n",
+    ":::"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

examples/references.bib

@@ -142,6 +142,14 @@ @article{lewandowski2009generating
   publisher={Elsevier}
 }
 
+@book{martin2018bayesian,
+  title={Bayesian analysis with Python: introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ},
+  author={Martin, Osvaldo},
+  year={2018},
+  publisher={Packt Publishing Ltd}
+}
+
+
 @book{mcelreath2018statistical,
   title={Statistical rethinking: A Bayesian course with examples in R and Stan},
   author={McElreath, Richard},

examples/variational_inference/bayesian_neural_network_advi.ipynb

@@ -4,6 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "(bayesian_neural_network_advi)=\n",
     "# Variational Inference: Bayesian Neural Networks"
    ]
   },
@@ -919,7 +920,7 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -933,7 +934,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.9.7"
   },
   "latex_envs": {
    "bibliofile": "biblio.bib",