Empirical dynamic modeling (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Empirical dynamic modeling" in English language version.

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computer.org

  • [29] Hiroaki Natsukawa, et al. 2021. A Visual Analytics Approach for Ecosystem Dynamics based on Empirical Dynamic Modeling. IEEE Transactions on Visualization and Computer Graphics. Feb. 2021, 506-516, vol. 27 DOI: 10.1109/TVCG.2020.3028956

doi.org

doi.org

  • [4]Ushio, M., Hsieh, Ch., Masuda, R. et al., 2018. Fluctuating interaction network and time-varying stability of a natural fish community. Nature 554, 360–363
  • [7]Park J., et al. 2021. Dynamics of Florida milk production and total phosphate in Lake Okeechobee. PLoS ONE 16(8): e0248910. doi:10.1371/journal.pone.0248910
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  • [10]Tajima S, Yanagawa T, Fujii N, Toyoizumi T (2015) Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding. PLoS Comput Biol 11(11): e1004537. https://doi.org/10.1371/journal.pcbi.1004537
  • [14]Cenci, S., Saavedra, S. Non-parametric estimation of the structural stability of non-equilibrium community dynamics. Nat Ecol Evol 3, 912–918 (2019). https://doi.org/10.1038/s41559-019-0879-1
  • [15]Tsonis A. A., et al. Dynamical evidence for causality between galactic cosmic rays and interannual variation in global temperature. Proc Natl Acad Sci 112(11):3253–3256 (2015).
  • [17]Park, J., et al. Empirical mode modeling. Nonlinear Dyn (2022). https://doi.org/10.1007/s11071-022-07311-y
  • van Berkel, Niels; Dennis, Simon; Zyphur, Michael; Li, Jinjing; Heathcote, Andrew; Kostakos, Vassilis (2021-07-04). "Modeling interaction as a complex system". Human–Computer Interaction. 36 (4): 279–305. doi:10.1080/07370024.2020.1715221. hdl:11343/247884. ISSN 0737-0024. S2CID 211267275.
  • [23] Takens, F. (1981). Detecting strange attractors in turbulence. In D. A. Rand & L. S. Young (Eds.), Dynamical Systems and Turbulence (pp. 366–381). Springer.
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  • [28]Cenci S, Sugihara G, Saavedra S, 2019. Regularized S-map for inference and forecasting with noisy ecological time series, METHODS IN ECOLOGY AND EVOLUTION, 10 (5), 650-660
  • [30] Breston, L., Leonardis, E.J., Quinn, L.K. et al. 2021. Convergent cross sorting for estimating dynamic coupling. Sci Rep 11, 20374 (2021). doi:10.1038/s41598-021-98864-2
  • [31] Deyle E. R. et al. A hybrid empirical and parametric approach for managing ecosystem complexity: Water quality in Lake Geneva under nonstationary futures. PNAS Vol. 119, No. 26 (2022).
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  • [34] Chang, C.-W., Miki, T., Ushio, M., et al. (2021) Reconstructing large interaction networks from empirical time series data. Ecology Letters, 24, 2763– 2774. https://doi.org/10.1111/ele.13897

dx.doi.org

  • [5]Deyle E.R., et al. 2016. Tracking and forecasting ecosystem interactions in real time. Proc. R. Soc. B 283: 20152258
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handle.net

hdl.handle.net

  • van Berkel, Niels; Dennis, Simon; Zyphur, Michael; Li, Jinjing; Heathcote, Andrew; Kostakos, Vassilis (2021-07-04). "Modeling interaction as a complex system". Human–Computer Interaction. 36 (4): 279–305. doi:10.1080/07370024.2020.1715221. hdl:11343/247884. ISSN 0737-0024. S2CID 211267275.

ieee.org

ieeexplore.ieee.org

  • [11]W. Watanakeesuntorn et al., "Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution," 2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS), 2020, pp. 196-205, doi: 10.1109/ICPADS51040.2020.00035

nature.com

  • [13]Ye, H., Deyle, E., Gilarranz, L. et al., 2015. Distinguishing time-delayed causal interactions using convergent cross mapping. Sci Rep 5, 14750 (2015). doi:10.1038/srep14750
  • [14]Cenci, S., Saavedra, S. Non-parametric estimation of the structural stability of non-equilibrium community dynamics. Nat Ecol Evol 3, 912–918 (2019). https://doi.org/10.1038/s41559-019-0879-1
  • [16]Nes EH Van, et al. Causal feedbacks in climate change. Nat Clim Chang 5(5):445–448 (2015)
  • [19] Sugihara G. and May R., 1990. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature, 344:734–741

plos.org

journals.plos.org

  • [10]Tajima S, Yanagawa T, Fujii N, Toyoizumi T (2015) Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding. PLoS Comput Biol 11(11): e1004537. https://doi.org/10.1371/journal.pcbi.1004537
  • [12] Deyle ER, Sugihara G (2011) Generalized Theorems for Nonlinear State Space Reconstruction. PLoS ONE 6(3): e18295. doi:10.1371/journal.pone.0018295

pnas.org

  • [2]Hao Ye, Richard J. Beamish, Sarah M. Glaser, et al. 2015. Equation-free mechanistic ecosystem forecasting using empirical dynamic modeling. Proceedings of the National Academy of Sciences Mar 2015, 112 (13) E1569-E1576; DOI: 10.1073/pnas.1417063112
  • [3]Ethan R. Deyle, Michael Fogarty, Chih-hao Hsieh, et al. 2013. Proceedings of the National Academy of Sciences Apr 2013, 110 (16) 6430-6435; DOI: 10.1073/pnas.1215506110
  • [8]George Sugihara, Walter Allan, Daniel Sobel, and Kenneth D. Allan, 1996. Nonlinear control of heart rate variability in human infants. Proc. Natl. Acad. Sci. USA. Vol. 93, pp. 2608-2613, March 1996. Medical Sciences
  • [18]Donald L. DeAngelis, Simeon Yurek, 2015, Equation-free modeling unravels the behavior of complex ecological systems. Proceedings of the National Academy of Sciences Mar 2015, 112 (13) 3856-3857; DOI: 10.1073/pnas.1503154112

royalsocietypublishing.org

  • [20] Sugihara G., 1994. Nonlinear forecasting for the classification of natural time series. Philosophical Transactions: Physical Sciences and Engineering, 348 (1688) : 477–495

science.org

  • [1]Dixon, P. A., et al. 1999. Episodic fluctuations in larval supply. Science 283:1528–1530
  • [21] Sugihara G., May R., Ye H., et al. 2012. Detecting Causality in Complex Ecosystems. Science 338:496-500
  • [22] Ye H., and G. Sugihara, 2016. Information leverage in interconnected ecosystems: Overcoming the curse of dimensionality. Science 353:922–925

sciencedirect.com

  • [33] Bethany Johnson, Stephan B. Munch. 2022. An empirical dynamic modeling framework for missing or irregular samples. Ecological Modelling, Volume 468, June 2022, 109948.

semanticscholar.org

api.semanticscholar.org

  • van Berkel, Niels; Dennis, Simon; Zyphur, Michael; Li, Jinjing; Heathcote, Andrew; Kostakos, Vassilis (2021-07-04). "Modeling interaction as a complex system". Human–Computer Interaction. 36 (4): 279–305. doi:10.1080/07370024.2020.1715221. hdl:11343/247884. ISSN 0737-0024. S2CID 211267275.

wiley.com

onlinelibrary.wiley.com

  • [6]Tanya L. Rogers, Stephan B. Munch, Simon D. Stewart, Eric P. Palkovacs, Alfredo Giron-Nava, Shin-ichiro S. Matsuzaki, Celia C. Symons. Ecology Letters, 23 (8) August 2020, 1287-1297

worldcat.org

search.worldcat.org

  • van Berkel, Niels; Dennis, Simon; Zyphur, Michael; Li, Jinjing; Heathcote, Andrew; Kostakos, Vassilis (2021-07-04). "Modeling interaction as a complex system". Human–Computer Interaction. 36 (4): 279–305. doi:10.1080/07370024.2020.1715221. hdl:11343/247884. ISSN 0737-0024. S2CID 211267275.