Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Sam Subbey"'
Autor:
Hiroko Kato Solvang, Sam Subbey
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0208078 (2019)
This paper provides a statistical methodology for quantifying causality in complex dynamical systems, based on analysis of multidimensional time series data of the state variables. The methodology integrates Granger's causality analysis based on the
Externí odkaz:
https://doaj.org/article/5320b6cb4f01475c8fcd664b30be78f9
Autor:
Hiroko Kato Solvang, Sam Subbey
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0217195 (2019)
[This corrects the article DOI: 10.1371/journal.pone.0208078.].
Externí odkaz:
https://doaj.org/article/55d535b0dbe546d6a6f9628e6d6c85f5
Publikováno v:
PLoS ONE, Vol 9, Iss 10, p e108243 (2014)
A novel approach to model food-web dynamics, based on a combination of chance (randomness) and necessity (system constraints), was presented by Mullon et al. in 2009. Based on simulations for the Benguela ecosystem, they concluded that observed patte
Externí odkaz:
https://doaj.org/article/6ed59b9599734ac5a707896263fd4802
We consider modeling and prediction of Capelin distribution in the Barents sea based on zero-inflated count observation data that vary continuously over a specified survey region. The model is a mixture of two components; a one-point distribution at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73f17fa800bfb913512a694e7083db01
http://arxiv.org/abs/2111.00964
http://arxiv.org/abs/2111.00964
Autor:
Richard D.M. Nash, Jennifer A. Devine, Brian K. Wells, N. Klibansky, Melissa A. Haltuch, Kyle W. Shertzer, Elizabeth N. Brooks, Jon Brodziak, Mark R. Payne, Sam Subbey, Kelli F. Johnson
Publikováno v:
Fisheries Research. 217:198-216
Studies describing and hypothesizing the impact of climate change and environmental processes on vital rates of fish stocks are increasing in frequency, and concomitant with that is interest in incorporating these processes in fish stock assessments
Publikováno v:
Fisheries Research. 210:224-227
The stock assessment model SAM (state-space assessment model) is an important tool for analysing fishery data and is used for abundance estimation of several different fish stocks. We demonstrate incongruous formulations in the equations that relate
This paper uses a Lotka-Volterra (predator-prey) modeling framework to investigate the dynamical link between the biomass of an empirical predator, and that of its prey. We use a system of ordinary (ODE) differential equations to describe the system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5168a7cb749b94a54697c31e1d54448
https://doi.org/10.1101/2020.08.23.263384
https://doi.org/10.1101/2020.08.23.263384
Publikováno v:
Journal of Theoretical Biology
Capelin (Mallotus villosus) is a short-lived (1-4 years) fish species, that plays a crucial role by dominating the intermediate trophic level in the Barents Sea. Several episodes of extreme biomass decline (collapse) have been observed during the las
Publikováno v:
Fisheries Research
This paper considers a general state-space stock assessment modeling framework that integrates a population model for a fish stock and a data model. This way observed data are linked to unobserved quantities in the population model. Using this framew
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4885d22fd9aa460228f0804170dd0fdf
https://hdl.handle.net/11250/2683097
https://hdl.handle.net/11250/2683097