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Jakob Runge

Showing results (11-20 of 22) with videos related to

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Chaos (Woodbury, N.Y.)|December 2, 2020
Reconstructing regime-dependent causal relationships from observational time seriesElena Saggioro, Jana de Wiljes, Marlene Kretschmer, et al.
Science Advances|December 7, 2019
Detecting and quantifying causal associations in large nonlinear time series datasetsJakob Runge, Peer Nowack, Marlene Kretschmer, et al.
Scientific Reports|November 20, 2018
Common solar wind drivers behind magnetic storm-magnetospheric substorm dependencyJakob Runge, Georgios Balasis, Ioannis A Daglis, et al.
Physiological Measurement|March 24, 2015
Quantifying the causal strength of multivariate cardiovascular couplings with momentary information transferJakob Runge, Maik Riedl, Andreas Müller, et al.
NPJ Climate and Atmospheric Science|February 17, 2025
Decreasing aerosols increase the European summer diurnal temperature rangeCarla M Roesch, Emilie Fons, Andrew P Ballinger, et al.
Nature Communications|October 8, 2015
Identifying causal gateways and mediators in complex spatio-temporal systemsJakob Runge, Vladimir Petoukhov, Jonathan F Donges, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 17, 2013
Disentangling different types of El Niño episodes by evolving climate network analysisAlexander Radebach, A Radebach, Reik V Donner, et al.
Nature Communications|May 4, 2024
Ozone as an environmental driver of influenzaFang Guo, Pei Zhang, Vivian Do, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 16, 2021
Network-based forecasting of climate phenomenaJosef Ludescher, Maria Martin, Niklas Boers, et al.
Chaos (Woodbury, N.Y.)|December 3, 2015
Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn packageJonathan F Donges, Jobst Heitzig, Boyan Beronov, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Chaos (Woodbury, N.Y.)|December 2, 2020
Reconstructing regime-dependent causal relationships from observational time seriesElena Saggioro, Jana de Wiljes, Marlene Kretschmer, et al.
Science Advances|December 7, 2019
Detecting and quantifying causal associations in large nonlinear time series datasetsJakob Runge, Peer Nowack, Marlene Kretschmer, et al.
Scientific Reports|November 20, 2018
Common solar wind drivers behind magnetic storm-magnetospheric substorm dependencyJakob Runge, Georgios Balasis, Ioannis A Daglis, et al.
Physiological Measurement|March 24, 2015
Quantifying the causal strength of multivariate cardiovascular couplings with momentary information transferJakob Runge, Maik Riedl, Andreas Müller, et al.
NPJ Climate and Atmospheric Science|February 17, 2025
Decreasing aerosols increase the European summer diurnal temperature rangeCarla M Roesch, Emilie Fons, Andrew P Ballinger, et al.
Nature Communications|October 8, 2015
Identifying causal gateways and mediators in complex spatio-temporal systemsJakob Runge, Vladimir Petoukhov, Jonathan F Donges, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 17, 2013
Disentangling different types of El Niño episodes by evolving climate network analysisAlexander Radebach, A Radebach, Reik V Donner, et al.
Nature Communications|May 4, 2024
Ozone as an environmental driver of influenzaFang Guo, Pei Zhang, Vivian Do, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 16, 2021
Network-based forecasting of climate phenomenaJosef Ludescher, Maria Martin, Niklas Boers, et al.
Chaos (Woodbury, N.Y.)|December 3, 2015
Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn packageJonathan F Donges, Jobst Heitzig, Boyan Beronov, et al.
Pageof 3