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Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology

机译：将政权指标合并到潜在可变动态模型中，以检测渔业生态功能变化的预警信号

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Neda Trifonova; Daniel Duplisea; Andrew Kenny; David Maxwell; Allan Tucker;
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1. Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology [J] . Trifonova Neda, Kenny Andrew, Maxwell David, Ecological informatics: an international journal on ecoinformatics and computational ecology . 2015,第Null期

机译：具有潜在变量的时空贝叶斯网络模型，用于揭示渔业生态中的营养动力学和功能网络
2. Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers [J] . Jie Gao, Kang Wang, Tao Ding Saudi Journal of Biological Sciences . 2017,第3期

机译：基于蛋白质动态网络生物标记物检测甲型流感大流行的预警信号
3. Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers [J] . Xiaoping Liu, Rui Liu, Xing-Ming Zhao, BMC Medical Genomics . 2013,第SUPPLEMENTa2期

机译：通过动态网络生物标记物检测1型糖尿病及其主要生物分子网络的预警信号
4. Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology [C] . Neda Trifonova, Daniel Duplisea, Andrew Kenny, International conference on discovery science . 2014

机译：将制度指标纳入潜在变量动态模型以检测渔业生态功能变化的预警信号
5. Learning latent variable and predictive models of dynamical systems. [D] . Siddiqi, Sajid M. 2009

机译：学习动力系统的潜在变量和预测模型。
6. Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers [O] . Jie Gao, Kang Wang, Tao Ding 2017

机译：基于蛋白质动态网络生物标记物检测甲型流感大流行的预警信号
7. Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology [O] . Trifonova N, Kenny A, Maxwell D, 2015

机译：具有潜在变量的时空贝叶斯网络模型，用于揭示渔业生态中的营养动力学和功能网络
8. Learning Latent Variable and Predictive Models of Dynamical Systems [R] . Siddiqi, S. M. 2009

机译：学习动力系统的潜变量和预测模型

Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology

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