Parameter estimation in stock assessment modelling: caveats with gradient-based algorithms
2018 ◽
Vol 75
(5)
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pp. 1553-1559
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Keyword(s):
Abstract 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.
1971 ◽
Vol 7
(6)
◽
pp. 1253-1254
1971 ◽
Vol 7
(3)
◽
pp. 457-472
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1972 ◽
Vol 8
(1)
◽
pp. 209-211
1974 ◽
Vol 32
◽
pp. 338-339