| Title: |
Parameter estimation in stock assessment modelling: caveats with gradient-based algorithms |
| Authors: |
Subbey, Sam |
| Contributors: |
Jardim, Ernesto; Reduced Uncertainty in Stock Assessments; REDUS; IMR; Research at Cornell University |
| Source: |
ICES Journal of Marine Science ; volume 75, issue 5, page 1553-1559 ; ISSN 1054-3139 1095-9289 |
| Publisher Information: |
Oxford University Press (OUP) |
| Publication Year: |
2018 |
| Description: |
Using simple illustrative examples, this note highlights some of the caveats with gradient-based algorithms. This class of algorithms underpins the state-of-the-art modelling platform in fisheries science. The goal is to sound a cautionary note about an increasing trend in fisheries science, where blind faith is being invested in results obtained from algorithms that are fast, and proven to have machine precision. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1093/icesjms/fsy044 |
| Availability: |
https://doi.org/10.1093/icesjms/fsy044; http://academic.oup.com/icesjms/article-pdf/75/5/1553/31237706/fsy044.pdf |
| Rights: |
https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model |
| Accession Number: |
edsbas.BA5CC1F3 |
| Database: |
BASE |