Zobrazeno 1 - 10
of 634
pro vyhledávání: '"Adams, Matthew P."'
Quantitative population modelling is an invaluable tool for identifying the cascading effects of ecosystem management and interventions. Ecosystem models are often constructed by assuming stability and coexistence in ecological communities as a proxy
Externí odkaz:
http://arxiv.org/abs/2405.00333
Autor:
Holden, Matthew H., Plagányi, Eva E., Fulton, Elizabeth A., Campbell, Alexander B., Janes, Rachel, Lovett, Robyn A., Wickens, Montana, Adams, Matthew P., Botelho, Larissa Lubiana, Dichmont, Catherine M., Erm, Philip, Helmstedt, Kate J, Heneghan, Ryan F., Mendiolar, Manuela, Richardson, Anthony J., Rogers, Jacob G. D., Saunders, Kate, Timms, Liam
Mathematical and statistical models underlie many of the world's most important fisheries management decisions. Since the 19th century, difficulty calibrating and fitting such models has been used to justify the selection of simple, stationary, singl
Externí odkaz:
http://arxiv.org/abs/2403.17446
Sigmoid growth models are often used to study population dynamics. The size of a population at equilibrium commonly depends explicitly on the availability of resources, such as an energy or nutrient source, which is not explicit in standard sigmoid g
Externí odkaz:
http://arxiv.org/abs/2403.15002
Autor:
Akinlotan, Morenikeji D., Warne, David J., Helmstedt, Kate J., Vollert, Sarah A., Chadès, Iadine, Heneghan, Ryan F., Xiao, Hui, Adams, Matthew P.
Publikováno v:
Ecological Indicators 160 (2024) 111828
In ecological and environmental contexts, management actions must sometimes be chosen urgently. Value of information (VoI) analysis provides a quantitative toolkit for projecting the improved management outcomes expected after making additional measu
Externí odkaz:
http://arxiv.org/abs/2309.09452
Publikováno v:
PLoS Comput Biol 20(3): e1011976
The potential effects of conservation actions on threatened species can be predicted using ensemble ecosystem models by forecasting populations with and without intervention. These model ensembles commonly assume stable coexistence of species in the
Externí odkaz:
http://arxiv.org/abs/2307.11365
Autor:
Botha, Imke, Adams, Matthew P., Tran, Dang Khuong, Bennett, Frederick R., Drovandi, Christopher
The ensemble Kalman filter (EnKF) is a Monte Carlo approximation of the Kalman filter for high dimensional linear Gaussian state space models. EnKF methods have also been developed for parameter inference of static Bayesian models with a Gaussian lik
Externí odkaz:
http://arxiv.org/abs/2206.02451
Autor:
Adams, Matthew P.
Publikováno v:
PLoS One 17 (2022) e0272014
Compositional data, which is data consisting of fractions or probabilities, is common in many fields including ecology, economics, physical science and political science. If these data would otherwise be normally distributed, their spread can be conv
Externí odkaz:
http://arxiv.org/abs/2204.09254
Publikováno v:
Environmental Modelling and Software 159 (2023) 105578
It can be difficult to identify ways to reduce the complexity of large models whilst maintaining predictive power, particularly where there are hidden parameter interdependencies. Here, we demonstrate that the analysis of model sloppiness can be a ne
Externí odkaz:
http://arxiv.org/abs/2204.05602
Autor:
Monsalve-Bravo, Gloria M., Lawson, Brodie A. J., Drovandi, Christopher, Burrage, Kevin, Brown, Kevin S., Baker, Christopher M., Vollert, Sarah A., Mengersen, Kerrie, McDonald-Madden, Eve, Adams, Matthew P.
Publikováno v:
Sci.Adv. 8(38) eabm5952 (2022)
This work introduces a comprehensive approach to assess the sensitivity of model outputs to changes in parameter values, constrained by the combination of prior beliefs and data. This novel approach identifies stiff parameter combinations strongly af
Externí odkaz:
http://arxiv.org/abs/2203.15184
Publikováno v:
In Engineering Structures 1 October 2024 316
