New example: Auto-imputation aka handling missing numeric covariates (p…

…ymc-devs#753)

* + take a new up-to-date branch off master and dump in new NB missing values in covariates
+ update NB with various minor improvements following PR review in the old branch pymc-devs#722
+ additional typos etc

* + ran pre-commit autoupdate

* + ran precommit on new NB, created myst file

.pre-commit-config.yaml

@@ -3,11 +3,11 @@ ci:
 
 repos:
 - repo: https://github.com/psf/black
-  rev: 24.4.2
+  rev: 24.10.0
   hooks:
     - id: black-jupyter
 - repo: https://github.com/nbQA-dev/nbQA
-  rev: 1.8.5
+  rev: 1.9.1
   hooks:
     - id: nbqa-isort
       additional_dependencies: [isort==5.6.4]
@@ -35,7 +35,7 @@ repos:
             |examples/samplers/MLDA_variance_reduction_linear_regression\.ipynb$
 
 - repo: https://github.com/FlamingTempura/bibtex-tidy
-  rev: v1.11.0
+  rev: v1.14.0
   hooks:
     - id: bibtex-tidy
       files: examples/references.bib
@@ -99,7 +99,7 @@ repos:
       language: pygrep
       types_or: [markdown, rst, jupyter]
 - repo: https://github.com/mwouts/jupytext
-  rev: v1.16.3
+  rev: v1.16.5
   hooks:
   - id: jupytext
     files: ^examples/.+\.ipynb$