Jonas Martin Peters

Jonas Martin Peters

Visiting researcher

ORCID: 0000-0002-1487-7511

Publication year:
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  1. 2016

  2. 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 journal › Journal article › peer-review

  3. 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 journal › Journal article › peer-review

  4. 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 journal › Journal article › peer-review

  5. Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks

    Mooij, J. M., Peters, Jonas Martin, Janzing, D., Zscheischler, J. & Schölkopf, B., 2016, In: Journal of Machine Learning Research. 17, p. 1-102

    Research output: Contribution to journal › Journal article › peer-review

  6. The Arrow of Time in Multivariate Time Series

    Bauer, S., Schölkopf, B. & Peters, Jonas Martin, 2016, Proceedings of the 33rd International Conference on Machine Learning (ICML). p. 2043-2051 9 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

ID: 164527659