Jonas Martin Peters

Jonas Martin Peters

Professor


  1. 2015
  2. Quantifying changes in climate variability and extremes: Pitfalls and their overcoming

    Sippel, S., Zscheischler, J., Heimann, M., Otto, F. E. L., Peters, Jonas Martin & Mahecha, M. D., 28 Nov 2015, In: Geophysical Research Letters (Online). 42, 22, p. 9990-9998

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. On the Intersection Property of Conditional Independence and its Application to Causal Discovery

    Peters, Jonas Martin, Mar 2015, In: Journal of Causal Inference. 3, 1, p. 97-108

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Structural intervention distance for evaluating causal graphs

    Peters, Jonas Martin & Bühlmann, P., Mar 2015, In: Neural Computation. 27, 3, p. 771-799 29 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions

    Rothenhäusler, D., Heinze, C., Peters, Jonas Martin & Meinshausen, N., 2015, Advances in Neural Information Processing Systems 28 (NIPS 2015): Proceedings from the conference, "Neural Information Processing Systems 2015." •. C. Cortes, C., Lawrence, N. D., Lee, D. D., Sugiyama, M. & Garnett, R. (eds.). NIPS Proceedings, p. 1513-1521 9 p.

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

  6. Causal inference using invariant prediction: identification and confidence intervals

    Peters, Jonas Martin, Bühlmann, P. & Meinshausen, N., 2015, In: Journal of the Royal Statistical Society, Series B (Statistical Methodology). 78, A, p. 1-42

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations

    Schölkopf, B., Muandet, K., Fukumizu, K., Harmeling, S. & Peters, Jonas Martin, 2015, In: Statistics and Computing. 25, 4, p. 755-766 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Removing systematic errors for exoplanet search via latent causes

    Schölkopf, B., Hogg, D. W., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. & Peters, Jonas Martin, 2015, Proceedings of the 32nd International Conference on Machine Learning (ICML). p. 2218-2226 9 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  9. 2014
  10. CAM: Causal additive models, high-dimensional order search and penalized regression

    Buehlmann, P., Peters, Jonas Martin & Ernest, J., Dec 2014, In: Annals of Statistics. 42, 6, p. 2526-2556

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Causal Discovery with Continuous Additive Noise Models

    Peters, Jonas Martin, Mooij, J. M., Janzing, D. & Schölkopf, B., 2014, In: Journal of Machine Learning Research. 15, p. 2009-2053 45 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Identifiability of Gaussian Structural Equation Models with Equal Error Variances

    Peters, Jonas Martin & Bühlmann, P., 2014, In: Biometrika. 101, 1, p. 219-228 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 164527659