Jonas Martin Peters
Professor
Department of Mathematical Sciences
Universitetsparken 5, 2100 København Ø, 04 Matematik E, Building: 04-3-22A
- 2022
- 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 journal › Journal article › Research › peer-review
- 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. 1-29Research output: Contribution to journal › Journal article › Research › peer-review
- 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. 1-11Research output: Contribution to journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 2021
- 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 journal › Journal article › Research › peer-review
- 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 - 246Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Causal discovery in heavy-tailed models
Gnecco, N., Meinshausen, N., Peters, Jonas Martin & Engelke, S., 2021, In: Annals of Statistics. 49, 3, p. 1755-1778Research output: Contribution to journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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. 1220-1246Research output: Contribution to journal › Journal article › Research › peer-review
ID: 164527659
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Inferring causation from time series in Earth system sciences
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Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables
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The hardness of conditional independence testing and the generalised covariance measure
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