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Summary

Adds a comprehensive Probabilistic PCA example to the case studies section.

Closes #250

Contents

  • Mathematical background on PPCA
  • Full PyMC implementation with priors
  • Comparison with classical PCA (sklearn)
  • Convergence diagnostics and trace plots
  • Discussion of rotational identifiability

Testing

  • Notebook runs successfully end-to-end
  • All cells execute without errors
  • Visualizations render correctly

Notes

  • ESS warnings are expected due to rotational non-identifiability
  • Tested on Windows with Python 3.13

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Add Probabilistic PCA example (code already exists)

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