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marginal-effects

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Extended discrete choice modeling notebook with Fair's affair data & STAR98 education analysis. Covers Logit, Probit, GLM, diagnostics, model comparison, marginal effects, and advanced topics like censored regression and count models. Complete with visualizations and validation techniques.

  • Updated Feb 20, 2026
  • Jupyter Notebook

Prédiction du trafic élevé de recettes de cuisine à partir de leurs caractéristiques nutritionnelles, catégorie et portions. Modèles de classification comparés : LPM, Logit (avec effets marginaux), arbre CART et Random Forest (CV 10-fold). Évaluation par matrice de confusion, courbe ROC et AUC.

  • Updated Aug 22, 2026
  • HTML

Python replication of an ordered logit study on sustainability-driven e-commerce purchasing behaviour in Bangalore (n=60). Covers model estimation, link test, marginal effects, and predicted probability curves. Original analysis in Stata, co-authored with Anwesha Sinha.

  • Updated Jul 1, 2026
  • Jupyter Notebook

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