Details about Sullivan Hué

Access statistics for papers by Sullivan Hué.

Last updated 2025-02-11. Update your information in the RePEc Author Service.

Short-id: phu675

Working Papers

2024

1. Treatment-effect estimation in high dimension: An inference-based approach
   French Stata Users' Group Meetings 2024, Stata Users Group

2023

2. Interpretable Machine Learning Using Partial Linear Models*
   Post-Print, HAL
   See also Journal Article Interpretable Machine Learning Using Partial Linear Models, Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford (2024) (2024)

2022

3. Explainable Performance
   Working Papers, HAL
   Also in HEC Research Papers Series, HEC Paris (2022)
4. GAM(L)A: An econometric model for interpretable machine learning
   French Stata Users' Group Meetings 2022, Stata Users Group
5. Machine Learning for Credit Scoring: Improving Logistic Regression with Non Linear Decision Tree Effects
   Post-Print, HAL View citations (42)
   See also Journal Article Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects, European Journal of Operational Research, Elsevier (2022) View citations (32) (2022)

2021

6. Machine Learning or Econometrics for Credit Scoring: Let's Get the Best of Both Worlds
   Working Papers, HAL View citations (1)
   Also in LEO Working Papers / DR LEO, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans (2020) View citations (2)

2018

7. Measuring network systemic risk contributions: A leave-one-out approach
   LEO Working Papers / DR LEO, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans
   See also Journal Article Measuring network systemic risk contributions: A leave-one-out approach, Journal of Economic Dynamics and Control, Elsevier (2019) View citations (24) (2019)

Journal Articles

2024

1. Interpretable Machine Learning Using Partial Linear Models
   Oxford Bulletin of Economics and Statistics, 2024, 86, (3), 519-540
   See also Working Paper Interpretable Machine Learning Using Partial Linear Models*, Post-Print (2023) (2023)

2022

2. Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects
   European Journal of Operational Research, 2022, 297, (3), 1178-1192 View citations (32)
   See also Working Paper Machine Learning for Credit Scoring: Improving Logistic Regression with Non Linear Decision Tree Effects, Post-Print (2022) View citations (42) (2022)

2019

3. Measuring network systemic risk contributions: A leave-one-out approach
   Journal of Economic Dynamics and Control, 2019, 100, (C), 86-114 View citations (24)
   See also Working Paper Measuring network systemic risk contributions: A leave-one-out approach, LEO Working Papers / DR LEO (2018) (2018)