Research output per year
Research output per year
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Dive into the research topics where Jonas Martin Peters is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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, J., Quax, R., Reichstein, M., Scheffer, M., Schölkopf, B., Spirtes, P., Sugihara, G., Sun, J., Zhang, K., & 1 others, 2019, In: Nature Communications. 10, 1, 13 p., 2553.Research output: Contribution to journal › Journal article › Research › peer-review
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Invariant Causal Prediction for Sequential Data
Pfister, N., Bühlmann, P. & Peters, J., 2019, In: Journal of the American Statistical Association. 114, 527, p. 1264-1276 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Invariant Causal Prediction for Nonlinear Models
Heinze-Deml, C., Peters, J. & Meinshausen, N., Sept 2018, In: Journal of Causal Inference. 6, 2, 35 p., 20170016.Research output: Contribution to journal › Journal article › Research › peer-review
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Invariant Models for Causal Transfer Learning
Rojas-Carulla, M., Schoelkopf, B., Turner, R. & Peters, J., 1 Sept 2018, In: Journal of Machine Learning Research. 19, 1, p. 1-34Research output: Contribution to journal › Journal article › Research › peer-review
20 Citations (Scopus)9 Downloads (Pure) -
Kernel-based tests for joint independence
Pfister, N., Bühlmann, P., Schölkopf, B. & Peters, J., 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 journal › Journal article › Research › peer-review
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Elements of Causal Inference: Foundations and Learning Algorithms: Foundations and Learning Algorithms
Peters, J. M., Janzing, D. & Schölkopf, B., 2017, MIT Press. 288 p. (Adaptive Computation and Machine Learning series ).Research output: Book/Report › Book › Research › peer-review
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Causal inference by using invariant prediction: identification and confidence intervals
Peters, J. M., Bühlmann, P. & Meinshausen, N., 1 Nov 2016, In: Journal of the Royal Statistical Society, Series B (Statistical Methodology). 78, 5, p. 947-1012Research output: Contribution to journal › Journal article › Research › peer-review
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Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks
Mooij, J. M., Peters, J. M., Janzing, D., Zscheischler, J. & Schölkopf, B., 1 Apr 2016, In: Journal of Machine Learning Research. 17, p. 1-102Research output: Contribution to journal › Journal article › Research › peer-review
116 Citations (Scopus)