עקוב אחר
Jonas Peters
Jonas Peters
Professor of Statistics, ETH Zurich
כתובת אימייל מאומתת בדומיין stat.math.ethz.ch - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Elements of causal inference: foundations and learning algorithms‏
J Peters, D Janzing, B Schölkopf‏
The MIT Press, 2017‏
25142017
Nonlinear causal discovery with additive noise models‏
P Hoyer, D Janzing, JM Mooij, J Peters, B Schölkopf‏
Advances in neural information processing systems 21, 2008‏
12892008
Causal inference using invariant prediction: identification and confidence intervals‏
J Peters, P Bühlmann, N Meinshausen‏
Journal of the Royal Statistical Society, Series B (with discussion) 78 (5 …, 2016‏
11192016
Inferring causation from time series in Earth system sciences‏
J Runge, S Bathiany, E Bollt, G Camps-Valls, D Coumou, E Deyle, ...‏
Nature communications 10 (1), 2553, 2019‏
8492019
Counterfactual reasoning and learning systems: The example of computational advertising‏
L Bottou, J Peters, J Quiñonero-Candela, D Charles, M Chickering, ...‏
Journal of Machine Learning Research 14 (Léon Bottou, Jonas Peters, Joaquin …, 2013‏
8412013
Kernel-based conditional independence test and application in causal discovery‏
K Zhang, J Peters, D Janzing, B Schölkopf‏
27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), AUAI …, 2012‏
7592012
On causal and anticausal learning‏
B Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang, J Mooij‏
29th International Conference on Machine Learning (ICML 2012), 1255-1262, 2012, 2012‏
7122012
Causal discovery with continuous additive noise models‏
J Peters, JM Mooij, D Janzing, B Schölkopf‏
The Journal of Machine Learning Research 15, 2009-2053, 2014‏
6452014
Distinguishing cause from effect using observational data: methods and benchmarks‏
JM Mooij, J Peters, D Janzing, J Zscheischler, B Schölkopf‏
Journal of Machine Learning Research 17 (32), 1-102, 2016‏
6012016
Invariant models for causal transfer learning‏
M Rojas-Carulla, B Schölkopf, R Turner, J Peters‏
Journal of Machine Learning Research 19 (36), 1-34, 2018‏
4092018
Identifiability of Gaussian structural equation models with equal error variances‏
J Peters, P Bühlmann‏
Biometrika 101 (1), 219-228, 2014‏
3882014
The hardness of conditional independence testing and the generalised covariance measure‏
RD Shah, J Peters‏
3782020
CAM: Causal additive models, high-dimensional order search and penalized regression‏
P Bühlmann, J Peters, J Ernest‏
3622014
Invariant causal prediction for nonlinear models‏
C Heinze-Deml, J Peters, N Meinshausen‏
Journal of Causal Inference 6 (2), 20170016, 2018‏
3052018
Anchor regression: Heterogeneous data meet causality‏
D Rothenhäusler, N Meinshausen, P Bühlmann, J Peters‏
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021‏
2522021
Causal inference on time series using restricted structural equation models‏
J Peters, D Janzing, B Schölkopf‏
Advances in neural information processing systems 26, 2013‏
2352013
Foundations of structural causal models with cycles and latent variables‏
S Bongers, P Forré, J Peters, JM Mooij‏
The Annals of Statistics 49 (5), 2885-2915, 2021‏
226*2021
Kernel-based tests for joint independence‏
N Pfister, P Bühlmann, B Schölkopf, J Peters‏
Journal of Royal Statistical Society, Series B 80, 5-31, 2017‏
2232017
Causal inference on discrete data using additive noise models‏
J Peters, D Janzing, B Scholkopf‏
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (12), 2436 …, 2011‏
2032011
The three major axes of terrestrial ecosystem function‏
M Migliavacca, T Musavi, MD Mahecha, JA Nelson, J Knauer, ...‏
Nature 598 (7881), 468-472, 2021‏
2012021
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מאמרים 1–20