Tag pocalypse (#436)

* aesara -> Aasara

* remove full "Bayesian additive regression trees" tag, leaving BART

* bayesian workflow -> Bayesian workflow

* remove truncation tag, leaving truncated

* remove gaussian processes, leaving gaussian process tag

* remove censoring, leaving censored

* remove predictions and prediction, leave posterior predictive

* removing hierarchical, leaving hierarchical model

* quasi experimental design -> quasi experiments

* remove multi level model tag

* remove pymc3 tags

* tag: pca -> PCA

Author: drbenvincent

examples/case_studies/BART_introduction.ipynb

@@ -8,7 +8,7 @@
     "# Gaussian Processes using numpy kernel\n",
     "\n",
     ":::{post} Jul 31, 2022\n",
-    ":tags: gaussian processes, \n",
+    ":tags: gaussian process, \n",
     ":category: advanced\n",
     ":author: Chris Fonnesbeck, Ana Rita Santos and Sandra Meneses\n",
     ":::"

examples/case_studies/GEV.ipynb

@@ -8,7 +8,7 @@
     "# How to debug a model\n",
     "\n",
     ":::{post} August 2, 2022\n",
-    ":tags: debugging, aesara\n",
+    ":tags: debugging, Aesara\n",
     ":category: beginner\n",
     ":author: Thomas Wiecki, Igor Kuvychko\n",
     ":::"

examples/case_studies/factor_analysis.ipynb

@@ -8,7 +8,7 @@
     "# Censored Data Models\n",
     "\n",
     ":::{post} May, 2022\n",
-    ":tags: censoring, survival analysis \n",
+    ":tags: censored, survival analysis \n",
     ":category: intermediate, how-to\n",
     ":author: Luis Mario Domenzain\n",
     ":::"
@@ -726,7 +726,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,

examples/case_studies/putting_workflow.ipynb

@@ -6,15 +6,15 @@ jupytext:
     format_version: 0.13
     jupytext_version: 1.13.7
 kernelspec:
-  display_name: Python 3 (ipykernel)
+  display_name: Python 3.10.6 ('pymc_env')
   language: python
   name: python3
 ---
 
 (BART_introduction)=
 # Bayesian Additive Regression Trees: Introduction
 :::{post} Dec 21, 2021
-:tags: BART, Bayesian additive regression trees, non-parametric, regression 
+:tags: BART, non-parametric, regression 
 :category: intermediate, explanation
 :author: Osvaldo Martin
 :::

examples/case_studies/rugby_analytics.ipynb

@@ -16,7 +16,7 @@ kernelspec:
 # Generalized Extreme Value Distribution
 
 :::{post} Sept 27, 2022
-:tags: extreme, inference, prediction
+:tags: extreme, inference, posterior predictive
 :category: beginner 
 :author: Colin Caprani 
 :::

examples/causal_inference/regression_discontinuity.ipynb

@@ -18,7 +18,7 @@ substitutions:
 # Factor analysis
 
 :::{post} 19 Mar, 2022
-:tags: factor analysis, matrix factorization, pca 
+:tags: factor analysis, matrix factorization, PCA 
 :category: advanced, how-to
 :author: Chris Hartl,  Christopher Krapu, Oriol Abril-Pla
 :::

examples/gaussian_processes/gaussian_process.ipynb

@@ -6,7 +6,7 @@ jupytext:
     format_version: 0.13
     jupytext_version: 1.13.7
 kernelspec:
-  display_name: Python 3 (ipykernel)
+  display_name: Python 3.10.6 ('pymc_env')
   language: python
   name: python3
 substitutions:
@@ -18,7 +18,7 @@ substitutions:
 # Model building and expansion for golf putting
 
 :::{post} Apr 2, 2022
-:tags: bayesian workflow, model expansion, sports 
+:tags: Bayesian workflow, model expansion, sports 
 :category: intermediate, how-to
 :author: Colin Carroll, Marco Gorelli, Oriol Abril-Pla
 :::

examples/generalized_linear_models/GLM-simpsons-paradox.ipynb

@@ -16,7 +16,7 @@ substitutions:
 # A Hierarchical model for Rugby prediction
 
 :::{post} 19 Mar, 2022
-:tags: hierarchical, sports 
+:tags: hierarchical model, sports 
 :category: intermediate, how-to
 :author: Peadar Coyle, Meenal Jhajharia, Oriol Abril-Pla
 :::

examples/generalized_linear_models/GLM-truncated-censored-regression.ipynb

@@ -16,7 +16,7 @@ kernelspec:
 # Regression discontinuity design analysis
 
 :::{post} April, 2022
-:tags: regression, causal inference, quasi experimental design, counterfactuals 
+:tags: regression, causal inference, quasi experiments, counterfactuals 
 :category: beginner, explanation
 :author: Benjamin T. Vincent
 :::

examples/howto/data_container.ipynb

@@ -15,7 +15,7 @@ kernelspec:
 # Gaussian Processes using numpy kernel
 
 :::{post} Jul 31, 2022
-:tags: gaussian processes, 
+:tags: gaussian process, 
 :category: advanced
 :author: Chris Fonnesbeck, Ana Rita Santos and Sandra Meneses
 :::

examples/howto/howto_debugging.ipynb

@@ -15,7 +15,7 @@ kernelspec:
 # Simpson's paradox and mixed models
 
 :::{post} March, 2022
-:tags: regression, hierarchical model, linear model, multi level model, posterior predictive, Simpson's paradox 
+:tags: regression, hierarchical model, linear model, posterior predictive, Simpson's paradox 
 :category: beginner
 :author: Benjamin T. Vincent
 :::

examples/survival_analysis/censored_data.ipynb

@@ -6,7 +6,7 @@ jupytext:
     format_version: 0.13
     jupytext_version: 1.13.7
 kernelspec:
-  display_name: Python 3 (ipykernel)
+  display_name: Python 3.10.6 ('pymc_env')
   language: python
   name: python3
 ---
@@ -15,7 +15,7 @@ kernelspec:
 # Bayesian regression with truncated or censored data
 
 :::{post} September, 2022
-:tags: censored, censoring, generalized linear model, regression, truncated, truncation 
+:tags: censored, generalized linear model, regression, truncated 
 :category: beginner
 :author: Benjamin T. Vincent
 :::

examples/variational_inference/GLM-hierarchical-advi-minibatch.ipynb

@@ -15,7 +15,7 @@ kernelspec:
 # Using shared variables (`Data` container adaptation)
 
 :::{post} Dec 16, 2021
-:tags: posterior predictive, predictions, shared data 
+:tags: posterior predictive, shared data 
 :category: beginner
 :author: Juan Martin Loyola, Kavya Jaiswal, Oriol Abril
 :::

myst_nbs/case_studies/BART_introduction.myst.md

@@ -15,7 +15,7 @@ kernelspec:
 # How to debug a model
 
 :::{post} August 2, 2022
-:tags: debugging, aesara
+:tags: debugging, Aesara
 :category: beginner
 :author: Thomas Wiecki, Igor Kuvychko
 :::

myst_nbs/case_studies/GEV.myst.md

@@ -15,7 +15,7 @@ kernelspec:
 # Censored Data Models
 
 :::{post} May, 2022
-:tags: censoring, survival analysis 
+:tags: censored, survival analysis 
 :category: intermediate, how-to
 :author: Luis Mario Domenzain
 :::

myst_nbs/case_studies/factor_analysis.myst.md

@@ -14,7 +14,7 @@ kernelspec:
 # GLM: Mini-batch ADVI on hierarchical regression model
 
 :::{post} Sept 23, 2021
-:tags: generalized linear model, hierarchical model, pymc3.Minibatch, pymc3.Model, pymc3.NUTS, pymc3.Normal, pymc3.Uniform, variational inference
+:tags: generalized linear model, hierarchical model, variational inference
 :category: intermediate
 :::