Sullivan Hué
Names
first: |
Sullivan |
last: |
Hué |
Identifer
Contact
Affiliations
-
Aix-Marseille Université
/ École d'Économie d'Aix-Marseille
Research profile
author of:
- Interpretable Machine Learning Using Partial Linear Models (RePEc:bla:obuest:v:86:y:2024:i:3:p:519-540)
by Emmanuel Flachaire & Sullivan Hué & Sébastien Laurent & Gilles Hacheme - GAM(L)A: An econometric model for interpretable machine learning (RePEc:boc:fsug22:19)
by Sullivan Hué - Treatment-effect estimation in high dimension: An inference-based approach (RePEc:boc:fsug24:18)
by Sullivan Hué & Emmanuel Flachaire & Sébastien Laurent & Ulrich Aiounou - Explainable Performance (RePEc:ebg:heccah:1463)
by Hué, Sullivan & Hurlin, Christophe & Pérignon, Christophe & Saurin, Sébastien - Measuring network systemic risk contributions: A leave-one-out approach (RePEc:eee:dyncon:v:100:y:2019:i:c:p:86-114)
by Hué, Sullivan & Lucotte, Yannick & Tokpavi, Sessi - Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (RePEc:eee:ejores:v:297:y:2022:i:3:p:1178-1192)
by Dumitrescu, Elena & Hué, Sullivan & Hurlin, Christophe & Tokpavi, Sessi - Machine Learning for Credit Scoring: Improving Logistic Regression with Non Linear Decision Tree Effects (RePEc:hal:journl:hal-03331114)
by Elena Ivona Dumitrescu & Sullivan Hué & Christophe Hurlin & Sessi Tokpavi - Interpretable Machine Learning Using Partial Linear Models (RePEc:hal:journl:hal-04529011)
by Emmanuel Flachaire & Sullivan Hué & Sébastien Laurent & Gilles Hacheme - Machine Learning or Econometrics for Credit Scoring: Let's Get the Best of Both Worlds (RePEc:hal:wpaper:hal-02507499)
by Elena Dumitrescu & Sullivan Hué & Christophe Hurlin & Sessi Tokpavi - Explainable Performance (RePEc:hal:wpaper:hal-03897380)
by Sullivan Hué & Christophe Hurlin & Christophe Pérignon & Sébastien Saurin - Measuring network systemic risk contributions: A leave-one-out approach (RePEc:leo:wpaper:2708)
by Sullivan HUE & Yannick LUCOTTE & Sessi TOKPAVI - Machine Learning or Econometrics for Credit Scoring: Let’s Get the Best of Both Worlds (RePEc:leo:wpaper:2839)
by Elena Ivona DUMITRESCU & Sullivan HUE & Christophe HURLIN & Sessi TOKPAVI