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Showing 1–7 of 7 results
Advanced filters: Author: Erik Bollt Clear advanced filters

  • The authors develop a framework that uses data assimilation to trace causes backwards from observed effects, even with partial observations. This assimilative causal inference enables online detection of instantaneous causal relationships and reveals how causal influence propagates temporally.

    • Marios Andreou
    • Nan Chen
    • Erik Bollt
    ResearchOpen Access
    Nature Communications
    P: 1-9

  • Reservoir computers are artificial neural networks that can be trained on small data sets, but require large random matrices and numerous metaparameters. The authors propose an improved reservoir computer that overcomes these limitations and shows advantageous performance for complex forecasting tasks

    • Daniel J. Gauthier
    • Erik Bollt
    • Wendson A. S. Barbosa
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-8

  • Questions of causality are ubiquitous in Earth system sciences and beyond, yet correlation techniques still prevail. This Perspective provides an overview of causal inference methods, identifies promising applications and methodological challenges, and initiates a causality benchmark platform.

    • Jakob Runge
    • Sebastian Bathiany
    • Jakob Zscheischler
    ReviewsOpen Access
    Nature Communications
    Volume: 10, P: 1-13