pymc-devs
diff --git a/‎examples/generalized_linear_models/GLM-rolling-regression.ipynb
+6-6 b/‎examples/generalized_linear_models/GLM-rolling-regression.ipynb
+6-6
diff --git a/‎examples/mixture_models/gaussian_mixture_model.ipynb
+4-4 b/‎examples/mixture_models/gaussian_mixture_model.ipynb
+4-4
diff --git a/‎examples/survival_analysis/censored_data.ipynb
+6-6 b/‎examples/survival_analysis/censored_data.ipynb
+6-6
diff --git a/‎myst_nbs/generalized_linear_models/GLM-rolling-regression.myst.md
+1-1 b/‎myst_nbs/generalized_linear_models/GLM-rolling-regression.myst.md
+1-1
diff --git a/‎myst_nbs/mixture_models/gaussian_mixture_model.myst.md
+1-1 b/‎myst_nbs/mixture_models/gaussian_mixture_model.myst.md
+1-1
diff --git a/‎myst_nbs/survival_analysis/censored_data.myst.md
+1-1 b/‎myst_nbs/survival_analysis/censored_data.myst.md
+1-1
@@ -17,7 +17,7 @@ kernelspec:
 :::{post} June, 2022
 :tags: generalized linear model, regression
 :category: intermediate
-:author: Thomas Wiecki, Benjamin T. Vincent
+:author: Thomas Wiecki
 :::
 
 +++
 
@@ -17,7 +17,7 @@ kernelspec:
 :::{post} April, 2022
 :tags: mixture model, classification
 :category: beginner
-:author: Benjamin T. Vincent
+:author: Abe Flaxman
 :::
 
 A [mixture model](https://en.wikipedia.org/wiki/Mixture_model) allows us to make inferences about the component contributors to a distribution of data. More specifically, a Gaussian Mixture Model allows us to make inferences about the means and standard deviations of a specified number of underlying component Gaussian distributions.
 
@@ -17,7 +17,7 @@ kernelspec:
 :::{post} May, 2022
 :tags: censoring, survival analysis
 :category: intermediate, how-to
-:author: Luis Mario Domenzain, George Ho, Benjamin T. Vincent
+:author: Luis Mario Domenzain
 :::
 
 ```{code-cell} ipython3