Showing 1–20 of 49 results
/ Date/ Name
Feb 20, 2021Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variablesMar 7, 2020Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasetsOct 9, 2012Quantifying Causal Coupling Strength: A Lag-specific Measure For Multivariate Time Series Related To Transfer EntropyOct 18, 2013On the graph-theoretical interpretation of Pearson correlations in a multivariate process and a novel partial correlation measureMay 15, 2025Causal discovery on vector-valued variables and consistency-guided aggregationMar 9, 2026Structural Causal Bottleneck ModelsAug 16, 2015Quantifying information transfer and mediation along causal pathways in complex systemsSep 5, 2017Conditional independence testing based on a nearest-neighbor estimator of conditional mutual informationJun 18, 2015Optimal model-free prediction from multivariate time seriesApr 30, 2013Comment on Wibral et al. (2013): Measuring information-transfer delays, PloS ONE 8(2): e55809Apr 15, 2025Using Time Structure to Estimate Causal EffectsNov 7, 2023ClimateSet: A Large-Scale Climate Model Dataset for Machine LearningFeb 22, 2017Detecting causal associations in large nonlinear time series datasetsFeb 7, 2018Common solar wind drivers behind magnetic storm-magnetospheric substorm dependencySep 28, 2022Vector causal inference between two groups of variablesApr 11, 2023Selecting Robust Features for Machine Learning Applications using Multidata Causal DiscoveryJun 22, 2023Causal discovery for time series from multiple datasets with latent contextsJun 12, 2023Foundations of Causal Discovery on Groups of VariablesOct 21, 2013Disentangling different types of El Niño episodes by evolving climate network analysisOct 17, 2023Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation