Jonas Martin Peters

Jonas Martin Peters

Professor


  1. 2022
  2. E-pub ahead of print

    A Causal Framework for Distribution Generalization

    Christiansen, R., Pfister, Niklas Andreas, Emil Jakobsen, Martin, Gnecco, N. & Peters, Jonas Martin, 2022, (E-pub ahead of print) In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 17 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. E-pub ahead of print

    Distributional robustness of K-class estimators and the PULSE

    Emil Jakobsen, Martin & Peters, Jonas Martin, 2022, (E-pub ahead of print) In: The Econometrics Journal. p. 1-29

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. E-pub ahead of print

    Towards Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia

    Christiansen, R., Baumann, M., Kuemmerle, T., Mahecha, M. D. & Peters, Jonas Martin, 2022, (E-pub ahead of print) In: Journal of the American Statistical Association. p. 1-11

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. E-pub ahead of print

    Towards Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia

    Christiansen, R., Baumann, M., Kuemmerle, T., Mahecha, M. D. & Peters, Jonas Martin, 2022, (E-pub ahead of print) In: Journal of the American Statistical Association (acc.), ArXiv e-prints (2005.08639). 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 2021
  7. Published

    Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness

    Weichwald, Sebastian & Peters, Jonas Martin, Feb 2021, In: Journal of Cognitive Neuroscience. 33, 2, p. 226-247 22 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Anchor regression: Heterogeneous data meet causality

    Rothenhäusler, D., Meinshausen, N., Bühlmann, P. & Peters, Jonas Martin, 2021, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 83, 2, p. 215 - 246

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    Causal discovery in heavy-tailed models

    Gnecco, N., Meinshausen, N., Peters, Jonas Martin & Engelke, S., 2021, In: Annals of Statistics. 49, 3, p. 1755-1778

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Foundations of structural causal models with cycles and latent variables

    Bongers, S., Forré, P., Peters, Jonas Martin & Mooij, J. M., 2021, In: Annals of Statistics. 49, 5, p. 2885-2915 31 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    Regularizing towards Causal Invariance: Linear Models with Proxies

    Oberst, M., Thams, Nikolaj Theodor Birkmose, Peters, Jonas Martin & Sontag, D., 2021, Proceedings of the 38th International Conference on Machine Learning (ICML). PMLR, p. 1-11 (Proceedings of Machine Learning Research, Vol. 139).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. Published

    Stabilizing variable selection and regression

    Pfister, Niklas Andreas, Williams, E. G., Peters, Jonas Martin, Aebersold, R. & Bühlmann, P., 2021, In: Annals of Applied Statistics. 15, 3, p. 1220-1246

    Research output: Contribution to journalJournal articleResearchpeer-review

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