Jonas Martin Peters

Jonas Martin Peters

Professor


  1. 2019
  2. Published

    Inferring causation from time series in Earth system sciences

    Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E., Glymour, C., Kretschmer, M., Mahecha, M. D., Muñoz-Marí, J., van Nes, E. H., Peters, Jonas Martin, Quax, R., Reichstein, M., Scheffer, M., Schölkopf, B., Spirtes, P., Sugihara, G., Sun, J., Zhang, K. & Zscheischler, J., 2019, In : Nature Communications. 10, 1, 13 p., 2553.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Invariant Causal Prediction for Sequential Data

    Pfister, Niklas Andreas, Bühlmann, P. & Peters, Jonas Martin, 2019, In : Journal of the American Statistical Association. 114, 527, p. 1264-1276 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Learning stable and predictive structures in kinetic systems

    Pfister, Niklas Andreas, Bauer, S. & Peters, Jonas Martin, 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 51, p. 25405-25411

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. 2018
  6. Published

    Kernel-based tests for joint independence

    Pfister, Niklas Andreas, Bühlmann, P., Schölkopf, B. & Peters, Jonas Martin, 1 Jan 2018, In : Journal of the Royal Statistical Society, Series B (Statistical Methodology). 80, 1, p. 5-31 27 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Invariant Causal Prediction for Nonlinear Models

    Heinze-Deml, C., Peters, Jonas Martin & Meinshausen, N., 2018, In : Journal of Causal Inference. 6, 2, 35 p., 20170016.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Invariant Models for Causal Transfer Learning

    Rojas-Carulla, M., Schoelkopf, B., Turner, R. & Peters, Jonas Martin, 2018, In : Journal of Machine Learning Research. 19, 1, p. 1-34

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. 2017
  10. Published

    Elements of Causal Inference: Foundations and Learning Algorithms: Foundations and Learning Algorithms

    Peters, Jonas Martin, Janzing, D. & Schölkopf, B., 2017, MIT Press. 288 p. (Adaptive Computation and Machine Learning series ).

    Research output: Book/ReportBookResearchpeer-review

  11. 2016
  12. Causal inference by using invariant prediction: identification and confidence intervals

    Peters, Jonas Martin, Bühlmann, P. & Meinshausen, N., Nov 2016, In : Journal of the Royal Statistical Society, Series B (Statistical Methodology). 78, 5, p. 947-1012

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Methods for causal inference from gene perturbation experiments and validation

    Meinshausen, N., Hauser, A., Mooij, J. M., Peters, Jonas Martin, Versteeg, P. & Bühlmann, P., 5 Jul 2016, In : Proceedings of the National Academy of Sciences of the United States of America. 113, 27, p. 7361-7368

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Modeling confounding by half-sibling regression

    Schölkopf, B., Hogg, D. W., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. & Peters, Jonas Martin, 5 Jul 2016, In : Proceedings of the National Academy of Sciences of the United States of America. 113, 27, p. 7391-7398 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

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