fixes

Author: chiral-carbon

examples/mixture_models/dp_mix.ipynb

@@ -58,7 +58,7 @@
     "\n",
     "    $$P = \\sum_{i = 1}^\\infty \\mu_i \\delta_{\\omega_i} \\sim \\textrm{DP}(\\alpha, P_0).$$\n",
     "    \n",
-    "[Suggested Further Reading]: (http://mlg.eng.cam.ac.uk/tutorials/07/ywt.pdf) and {cite:p}`teh2010dirichletprocess` for a brief introduction to other flavours of Dirichlet Processes, and their applications.\n",
+    "[Suggested Further Reading]: (http://mlg.eng.cam.ac.uk/tutorials/07/ywt.pdf) and {cite:t}`teh2010dirichletprocess` for a brief introduction to other flavours of Dirichlet Processes, and their applications.\n",
     "\n",
     "We can use the stick-breaking process above to easily sample from a Dirichlet process in Python.  For this example, $\\alpha = 2$ and the base distribution is $N(0, 1)$."
    ]

examples/references.bib

@@ -165,14 +165,14 @@ @article{lewandowski2009generating
   publisher={Elsevier}
 }
 
-@misc{madsen2005modelingdirichlet, 
-  title={Modeling word burstiness using the Dirichlet distribution}, 
-  url={https://dl.acm.org/doi/10.1145/1102351.1102420}, 
-  journal={Proceedings of the 22nd international conference on Machine learning}, 
-  author={Rasmus E. Madsen, David Kauchak, Charles Elkan and et al.}, 
-  year={2005}, 
+@misc{madsen2005modelingdirichlet,
+  title={Modeling word burstiness using the Dirichlet distribution},
+  url={https://dl.acm.org/doi/10.1145/1102351.1102420},
+  journal={Proceedings of the 22nd international conference on Machine learning},
+  author={Rasmus E. Madsen, David Kauchak, Charles Elkan and et al.},
+  year={2005},
   month={Aug}
-} 
+}
 
 @book{martin2018bayesian,
   title={Bayesian analysis with Python: introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ},
@@ -208,14 +208,14 @@ @misc{mnih2013playing
   primaryClass={cs.LG}
 }
 
-@misc{nowicka2016drimseq, 
-  title={DRIMSeq: A Dirichlet-Multinomial Framework for Multivariate Count Outcomes in Genomics}, 
-  url={https://f1000research.com/articles/5-1356/v2}, 
-  journal={F1000Research}, 
-  author={Nowicka, Malgorzata and Robinson, Mark D.}, 
-  year={2016}, 
+@misc{nowicka2016drimseq,
+  title={DRIMSeq: A Dirichlet-Multinomial Framework for Multivariate Count Outcomes in Genomics},
+  url={https://f1000research.com/articles/5-1356/v2},
+  journal={F1000Research},
+  author={Nowicka, Malgorzata and Robinson, Mark D.},
+  year={2016},
   month={Dec}
-} 
+}
 
 @article{nowlan1992simplifying,
   title={Simplifying Neural Networks By Soft Weight-Sharing},
@@ -271,6 +271,13 @@ @misc{szegedy2014going
   primaryClass={cs.CV}
 }
 
+@article{roy2008npbayes,
+  title={A stochastic programming perspective on nonparametric Bayes},
+  author={Daniel M. Roy, Vikash Mansinghka, Noah Goodman and Joshua Tenenbaum},
+  journal={International Conference on Machine Learning: Workshop on Nonparametric Bayesian},
+  year={2008}
+}
+
 @incollection{teh2010dirichletprocess,
   author={Y. W. Teh},
   booktitle={Encyclopedia of Machine Learning},