A scoping review of regularization in decision science
We review the literature on regularization in decision science. Materials contain a protocol for article search, exclusion, and coding; the initial article set (without duplicates) and the coded article set.
Cite this dataset as:
Hoffmann, J.,
2023.
A scoping review of regularization in decision science.
Open Science Framework.
Available from: https://doi.org/10.17605/OSF.IO/DVP37.
Export
Creators
Janina Hoffmann
University of Bath
Documentation
Data collection method:
Please see the methodology in the associated paper.
Methodology link:
Hoffmann, J. A., 2024. Decisions as ill-posed problems: A scoping review of regularization methods in decision science. Decision. Available from: https://doi.org/10.1037/dec0000248.
Funders
University of Bath
https://doi.org/10.13039/501100000835
Publication details
Publication date: 3 May 2023
by: Open Science Framework
Version: 1
DOI: https://doi.org/10.17605/OSF.IO/DVP37
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1449
Related papers and books
Hoffmann, J. A., 2024. Decisions as ill-posed problems: A scoping review of regularization methods in decision science. Decision. Available from: https://doi.org/10.1037/dec0000248.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Janina Hoffmann
Faculty of Humanities & Social Sciences
Psychology
Research Centres & Institutes
UKRI CDT in Accountable, Responsible and Transparent AI