added lec05 sidenotes

README.md

@@ -18,7 +18,7 @@ Materials for DATS0001 Foundations of Data Science, ULiège, Fall 2023.
 | October 16 | _No class_ |
 | October 23 | Lecture 4: Bayesian modeling <br>`nb04`: Latent variable models [[notebook](./nb04-latent-variable-models.ipynb), [sidenotes (LVMs)](./pdf/lec04-lvm.pdf), [sidenotes (Probabilistic PCA)](./pdf/lec04-ppca.pdf)]<br>Reading: Gelman et al, [Bayesian workflow](https://arxiv.org/abs/2011.01808), 2020 [Sections 1 and 2]<br>Reading: Blei, [Build, Compute, Critique, Repeat](http://www.cs.columbia.edu/~blei/fogm/2020F/readings/Blei2014.pdf), 2014 [Sections 2 and 3] |
 | October 30 | _No class_ |
-| November 6 | Lecture 5: Markov Chain Monte Carlo<br>`nb05`: Markov Chain Monte Carlo [[notebook](./nb05-mcmc.ipynb)]<br>Reading: Gelman et al, [Bayesian Data Analysis, 3rd](http://www.stat.columbia.edu/~gelman/book/BDA3.pdf), 2021 [Chapter 11] |
+| November 6 | Lecture 5: Markov Chain Monte Carlo<br>`nb05`: Markov Chain Monte Carlo [[notebook](./nb05-mcmc.ipynb)] [[sidenotes](./pdf/lec05-mcmc.pdf)]<br>Reading: Gelman et al, [Bayesian Data Analysis, 3rd](http://www.stat.columbia.edu/~gelman/book/BDA3.pdf), 2021 [Chapter 11] |
 | November 13 | Lecture 6: Expectation-Minimization <br>`nb06`: Expectation-Maximization [[notebook](./nb06-em.ipynb)]<br>Reading: Dempster et al, [Maximum Likelihood from Incomplete Data via EM](https://www.jstor.org/stable/2984875), 1977  |
 | November 20 | Lecture 7: Variational inference <br>`nb07`: ADVI [[notebook](./nb07-advi.ipynb)]<br>Reading: Kucukelbir et al, [Automatic Differentiation Variational Inference](https://arxiv.org/abs/1603.00788), 2016 |
 | November 27 | Lecture 8: Model criticism<br>`nb08a`: Model checking [[notebook](./nb08a-model-checking.ipynb)]<br>`nb08b`: Model comparison [[notebook](./nb08b-model-comparison.ipynb)]<br>Reading: Gelman et al, [Bayesian Data Analysis, 3rd](http://www.stat.columbia.edu/~gelman/book/BDA3.pdf), 2021 [Chapters 6 and 7] |