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Marcus Buckmann
Marcus Buckmann
Researcher, Bank of England
Dirección de correo verificada de bankofengland.co.uk
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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 145, 103773, 2023
1092023
Classification in the wild: The science and art of transparent decision making
KV Katsikopoulos, O Simsek, M Buckmann, G Gigerenzer
MIT Press, 2021
652021
Learning from small samples: An analysis of simple decision heuristics
Ö Şimşek, M Buckmann
Advances in neural information processing systems 28, 2015
402015
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
382022
Classification in the wild
K Katsikopoulos, O Simsek, M Buckmann, G Gigerenzer
The science and art of transparent decision making, 2020
192020
Comparing minds and machines: implications for financial stability
M Buckmann, A Haldane, AC Hüser
Oxford Review of Economic Policy 37 (3), 479-508, 2021
182021
An interpretable machine learning workflow with an application to economic forecasting
M Buckmann, A Joseph, H Robertson
Bank of England, 2022
172022
Decision heuristics for comparison: How good are they?
M Buckmann, Ö Şimşek
Imperfect Decision Makers: Admitting Real-World Rationality, 1-11, 2017
172017
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
102021
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
82013
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
62021
On learning decision heuristics
Ö Şimşek, M Buckmann
Imperfect Decision Makers: Admitting Real-World Rationality, 75-85, 2017
52017
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
32022
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
32015
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
22023
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
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