| How is Machine Learning Useful for Macroeconomic Forecasting? P Goulet Coulombe, M Leroux, D Stevanovic, S Surprenant CIRANO Working Papers, 2019 | 205 | 2019 |
| The Macroeconomy as a Random Forest P Goulet Coulombe arXiv preprint arXiv:2006.12724, 2020 | 70* | 2020 |
| Can Machine Learning Catch the COVID-19 Recession? P Goulet Coulombe, M Marcellino, D Stevanovic arXiv preprint arXiv:2103.01201, 2021 | 41* | 2021 |
| Macroeconomic Data Transformations Matter P Goulet Coulombe, M Leroux, D Stevanovic, S Surprenant arXiv preprint arXiv:2008.01714, 2020 | 39* | 2020 |
| To Bag is to Prune P Goulet Coulombe arXiv preprint arXiv:2008.07063, 2020 | 24* | 2020 |
| A Neural Phillips Curve and a Deep Output Gap P Goulet Coulombe arXiv preprint arXiv:2202.04146, 2022 | 20 | 2022 |
| Time-Varying Parameters as Ridge Regressions P Goulet Coulombe arXiv preprint arXiv:2009.00401, 2020 | 18 | 2020 |
| Optimal combination of Arctic sea ice extent measures: A dynamic factor modeling approach FX Diebold, M Göbel, PG Coulombe, GD Rudebusch, B Zhang International Journal of Forecasting 37 (4), 1509-1519, 2021 | 16 | 2021 |
| The Anatomy of Out-of-Sample Forecasting Accuracy D Borup, PG Coulombe, ECM Schütte, DE Rapach, S Schwenk-Nebbe FRB Atlanta Working Paper, 2022 | 14 | 2022 |
| When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume FX Diebold, GD Rudebusch, M Göbel, PG Coulombe, B Zhang Journal of Econometrics 236 (2), 105479, 2023 | 9 | 2023 |
| Arctic Amplification of Anthropogenic Forcing: A Vector Autoregressive Analysis P Goulet Coulombe, M Göbel Journal of Climate, 1-52, 2021 | 7* | 2021 |
| Maximally Machine-Learnable Portfolios P Goulet Coulombe, M Göbel Available at SSRN 4428178, 2023 | 6* | 2023 |
| On Spurious Causality, CO2, and Global Temperature P Goulet Coulombe, M Göbel Econometrics 9 (3), 33, 2021 | 6 | 2021 |
| Prévision de l’activité économique au Québec et au Canada à l’aide des méthodes Machine Learning P Goulet Coulombe, M Leroux, D Stevanovic, S Surprenant CIRANO Project Reports, 2020 | 4 | 2020 |
| Assessing and comparing fixed-target forecasts of Arctic sea ice: Glide charts for feature-engineered linear regression and machine learning models FX Diebold, M Göbel, PG Coulombe Energy Economics 124, 106833, 2023 | 3 | 2023 |
| From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks PG Coulombe, M Frenette, K Klieber arXiv preprint arXiv:2311.16333, 2023 | 2* | 2023 |
| Slow-Growing Trees P Goulet Coulombe arXiv preprint arXiv:2103.01926, 2021 | 2 | 2021 |
| Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison M Bushuk, S Ali, DA Bailey, Q Bao, L Batté, US Bhatt, ... Bulletin of the American Meteorological Society, 2024 | | 2024 |
| Maximally Forward-Looking Core Inflation P Goulet Coulombe, K Klieber, C Barrette, M Göbel Available at SSRN 4758517, 2024 | | 2024 |
| The Anatomy of Machine Learning-Based Portfolio Performance P Goulet Coulombe, D Rapach, ECM Schütte, S Schwenk-Nebbe Available at SSRN, 2023 | | 2023 |
Dalibor StevanovicDépartement des sciences économiques, UQAMVerified email at uqam.ca
