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.

Keywords:
regularization, decision making, hierarchical Bayes, informative prior
Subjects:
Information and communication technologies
Psychology

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

[QR code for this page]

Creators

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

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

Departments:

Faculty of Humanities & Social Sciences
Psychology

Research Centres & Institutes
UKRI CDT in Accountable, Responsible and Transparent AI