Marcus Buckmann
Marcus Buckmann
Researcher, Bank of England
Verified email at bankofengland.co.uk
Title
Cited by
Cited by
Year
Learning from small samples: An analysis of simple decision heuristics
Ö Şimşek, M Buckmann
Advances in neural information processing systems 28, 3159-3167, 2015
272015
Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach
K Bluwstein, M Buckmann, A Joseph, M Kang, S Kapadia, Ö Simsek
Bank of England Working Paper, 2020
242020
Classification in the wild: The art and science of transparent decision making
O Simsek, K Katsikopoulos, M Buckmann, G Gigerenzer
MIT Press, 2021
102021
Decision heuristics for comparison: How good are they?
M Buckmann, Ö Şimşek
Imperfect Decision Makers: Admitting Real-World Rationality, 1-11, 2017
62017
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
52021
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
52013
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, 2021
42021
On learning decision heuristics
Ö Şimşek, M Buckmann
Imperfect Decision Makers: Admitting Real-World Rationality, 75-85, 2017
32017
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
Comparing minds and machines: implications for financial stability
M Buckmann, A Haldane, AC Hüser
Oxford Review of Economic Policy 37 (3), 479-508, 2021
12021
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, 43-63, 2021
12021
An interpretable machine learning workflow with an application to economic forecasting
M Buckmann, A Joseph, H Robertson
2021
Classification in the Wild: The Science and Art of Transparent Decision Making
G Gigerenzer, M Buckmann, O Simsek, KV Katsikopoulos
MIT Press, 2021
2021
Firm-Level Job Postings in the COVID-19 Recession and Recovery
M Buckmann, A Turrell, D Van Dijcke
2020
A Triple-Stopping Threshold System For a Sequential Decision Task: A Cast-Net Stopping Rule Model.
M Fific, M Buckmann
CogSci, 2015
2015
An empirical analysis of the performance of simple decision heuristics in dynamic environments
M Buckmann
Humboldt-Universität zu Berlin, 2014
2014
Supplementary material: On Learning Decision Heuristics
O Simsek, M Buckmann
Supplementary material: Decision Heuristics for Comparison: How Good Are They?
M Buckmann, O Simsek
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Articles 1–18