Recent progress and new methods for detecting causal relations in large nonlinear time series datasets
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[1] R. Karger,et al. Kretschmer , 2004 .
[2] D. Sejdinovic,et al. Detecting causal associations in large nonlinear time series datasets , 2018 .
[3] Jakob Runge,et al. Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information , 2017, AISTATS.
[4] J Runge,et al. Causal network reconstruction from time series: From theoretical assumptions to practical estimation. , 2018, Chaos.
[5] Jakob Runge,et al. Quantifying the Strength and Delay of Climatic Interactions: The Ambiguities of Cross Correlation and a Novel Measure Based on Graphical Models , 2014 .
[6] Tom Burr,et al. Causation, Prediction, and Search , 2003, Technometrics.
[7] Tarek S. El-Madany,et al. Causal networks of biosphere–atmosphere interactions , 2019 .
[8] Jürgen Kurths,et al. Identifying causal gateways and mediators in complex spatio-temporal systems , 2015, Nature Communications.
[9] Georgios Balasis,et al. Common solar wind drivers behind magnetic storm–magnetospheric substorm dependency , 2017, Scientific Reports.
[10] Joachim Denzler,et al. Using Causal Inference to Globally Understand Black Box Predictors Beyond Saliency Maps , 2020 .
[11] Jürgen Kurths,et al. Quantifying Causal Coupling Strength: A Lag-specific Measure For Multivariate Time Series Related To Transfer Entropy , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.
[12] Jakob Runge,et al. The role of the North Atlantic overturning and deep ocean for multi-decadal global-mean-temperature variability , 2014 .
[13] A. Alessandri,et al. Long-Lead Statistical Forecasts of the Indian Summer Monsoon Rainfall Based on Causal Precursors , 2019, Weather and Forecasting.
[14] Jakob Runge,et al. Introduction to Focus Issue: Causation inference and information flow in dynamical systems: Theory and applications. , 2018, Chaos.
[15] Markus Reichstein,et al. A perspective on Gaussian processes for Earth observation , 2019, National science review.
[16] Mélanie Frappier,et al. The Book of Why: The New Science of Cause and Effect , 2018, Science.
[17] Joachim Denzler,et al. SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data , 2018 .
[18] Joachim Denzler,et al. Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection , 2019, GCPR.
[19] Jakob Runge,et al. The different stratospheric influence on cold-extremes in Eurasia and North America , 2018, npj Climate and Atmospheric Science.
[20] B. Pompe,et al. Momentary information transfer as a coupling measure of time series. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] Jürgen Kurths,et al. Escaping the curse of dimensionality in estimating multivariate transfer entropy. , 2012, Physical review letters.
[22] Jürgen Kurths,et al. Optimal model-free prediction from multivariate time series. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.
[23] Jakob Runge,et al. Quantifying information transfer and mediation along causal pathways in complex systems. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.
[24] Bernhard Schölkopf,et al. Inferring causation from time series in Earth system sciences , 2019, Nature Communications.