| Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach K Bluwstein, M Buckmann, A Joseph, S Kapadia, Ö Şimşek Journal of International Economics, 103773, 2023 | 85 | 2023 |
| Classification in the wild: The science and art of transparent decision making KV Katsikopoulos, O Simsek, M Buckmann, G Gigerenzer MIT Press, 2021 | 50 | 2021 |
| Learning from small samples: An analysis of simple decision heuristics Ö Şimşek, M Buckmann Advances in neural information processing systems 28, 2015 | 38 | 2015 |
| Transparent modeling of influenza incidence: Big data or a single data point from psychological theory? KV Katsikopoulos, Ö Şimşek, M Buckmann, G Gigerenzer International Journal of Forecasting 38 (2), 613-619, 2022 | 29 | 2022 |
| An interpretable machine learning workflow with an application to economic forecasting M Buckmann, A Joseph An Interpretable Machine Learning Workflow with An Application to Economic …, 2022 | 15 | 2022 |
| Comparing minds and machines: implications for financial stability M Buckmann, A Haldane, AC Hüser Oxford Review of Economic Policy 37 (3), 479-508, 2021 | 14 | 2021 |
| Classification in the Wild KV Katsikopoulos, O Simsek, M Buckmann, G Gigerenzer Artificial intelligence 2, 80, 2020 | 14 | 2020 |
| Decision heuristics for comparison: How good are they? M Buckmann, Ö Şimşek Imperfect Decision Makers: Admitting Real-World Rationality, 1-11, 2017 | 12 | 2017 |
| The more the merrier? Evidence from the global financial crisis on the value of multiple requirements in bank regulation M Buckmann, P Gallego Marquez, M Gimpelewicz, S Kapadia, ... Bank of England Working Paper, 2021 | 10 | 2021 |
| Opening the black box: Machine learning interpretability and inference tools with an application to economic forecasting M Buckmann, A Joseph, H Robertson Data Science for Economics and Finance: Methodologies and Applications, 43-63, 2021 | 5 | 2021 |
| Stopping Rule Selection (SRS) theory applied to deferred decision making M Fific, M Buckmann Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013 | 5 | 2013 |
| On learning decision heuristics Ö Şimşek, M Buckmann Imperfect Decision Makers: Admitting Real-World Rationality, 75-85, 2017 | 4 | 2017 |
| Learning to explore the structure of kinematic objects in a virtual environment M Buckmann, R Gaschler, S Höfer, D Loeben, PA Frensch, O Brock Frontiers in Psychology 6, 374, 2015 | 3 | 2015 |
| Reply to commentaries on “Transparent modelling of influenza incidence”: Recency heuristics and psychological AI KV Katsikopoulos, Ö Şimşek, M Buckmann, G Gigerenzer International Journal of Forecasting 38 (2), 630-634, 2022 | 2 | 2022 |
| The more the merrier? Evidence on the value of multiple requirements in bank regulation M Buckmann, PG Marquez, M Gimpelewicz, S Kapadia, K Rismanchi Journal of Banking & Finance 149, 106753, 2023 | 1 | 2023 |
| Vacancy posting, firm balance sheets, and pandemic policy DV Dijcke, M Buckmann, A Turrell, T Key | | 2023 |
| Vacancy posting, firm balance sheets, and pandemic policy D Van Dijcke, M Buckmann, A Turrell, T Key Bank of England Working Paper, 2023 | | 2023 |
| An interpretable machine learning workflow M Buckmann, A Joseph | | 2022 |
| Vacancy Posting, Firm Balance Sheets, and Pandemic Policy Interventions D Van Dijcke, M Buckmann, A Turrell, T Key | | 2022 |
| Classification in the Wild: The Science and Art of Transparent Decision Making G Gigerenzer, M Buckmann, O Simsek, KV Katsikopoulos MIT Press, 2021 | | 2021 |
