fix typo

Author: OriolAbril

examples/generalized_linear_models/GLM-robust-with-outlier-detection.ipynb

@@ -20,7 +20,7 @@
     "+ The dataset is tiny and hardcoded into this Notebook. It contains errors in both the x and y, but we will deal here with only errors in y.\n",
     "\n",
     "**Complementary approaches:**\n",
-    "+ This is a complementary approach to the Student-T robust regression as illustrated in the example {doc}`generalized_linear_models/GLM-robust}, and that approach is also compared\n",
+    "+ This is a complementary approach to the Student-T robust regression as illustrated in the example {doc}`generalized_linear_models/GLM-robust`, and that approach is also compared\n",
     "+ See also a [gist by Dan FM](https://gist.github.com/dfm/5250dd2f17daf60cbe582ceeeb2fd12f) that he published after a quick twitter conversation - his \"Hogg improved\" model uses this same model structure and cleverly marginalizes over the outlier class but also observes it during sampling using a `pm.Deterministic` <- this is really nice\n",
     "+ The likelihood evaluation is essentially a copy of eqn 17 in \"Data analysis recipes: Fitting a model to data\" - {cite:t}`hogg2010data`\n",
     "+ The model is adapted specifically from Jake Vanderplas' and Brigitta Sipocz' [implementation](http://www.astroml.org/book_figures/chapter8/fig_outlier_rejection.html) in the AstroML book {cite:p}`ivezić2014astroMLtext,vanderplas2012astroML`"