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Jonas Peters

University of Cologne (from arXiv:2409.15530, 2024) · ORCID · OpenAlex

28 papers in scope · 27 published · 1 on the econ.EM arXiv · 1,875 citations · h-index 17 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Mikkel Plagborg-Møller
  2. José Luis Montiel Olea
  3. Malte Londschien
  4. Yongchan Kwon
  5. Christian K. Wolf
  6. Eric Qian
  7. Elias Bareinboim
  8. Zhaonan Qu
  9. Paul Hünermund
  10. Aleksei Nemtyrev
  11. Peter Bühlmann
  12. Dake Li
  13. Ekaterina Zubova
  14. Chaoyi Chen
  15. Balázs Vonnák
  16. Elena Pesavento
  17. Raffaele Sgarlato
  18. Lion Hirth
  19. Silvana Tiedemann
  20. Oliver Ruhnau

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(2 of 28)

DecoR : deconfounding time series with robust regression
published2025 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · first circulated 2024
with Felix Schur, Pio Blieske
working paper2024 · arXiv · 1 citations
Model-Based Causal Feature Selection for General Response Types
published2024 · Journal of the American Statistical Association · 6 citations · first circulated 2023
with Lucas Kook, Sorawit Saengkyongam, Anton Rask Lundborg, Torsten Hothorn
Statistical testing under distributional shifts
published2023 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 8 citations · first circulated 2021
with Nikolaj Thams, Sorawit Saengkyongam, Niklas Pfister
Invariant Policy Learning: A Causal Perspective
published2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 8 citations · first circulated 2021
with Sorawit Saengkyongam, Nikolaj Thams, Niklas Pfister
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis
published2022 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 16 citations · first circulated 2021
with Anton Rask Lundborg, Rajen D. Shah
Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia
published2021 · Journal of the American Statistical Association · 32 citations · first circulated 2020
with Rune Christiansen, Matthias Baumann, Tobias Kuemmerle, Miguel D. Mahecha
published2021 · Econometrics Journal · 9 citations
with Martin Emil Jakobsen
A Causal Framework for Distribution Generalization
published2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 9 citations
with Rune Christiansen, Niklas Pfister, Martin Emil Jakobsen, Nicola Gnecco
Causal discovery in heavy-tailed models
published2021 · The Annals of Statistics · 3 citations
with Nicola Gnecco, Nicolai Meinshausen, Sebastian Engelke
Anchor Regression: Heterogeneous Data Meet Causality
published2021 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 83 citations · first circulated 2018
with Dominik Rothenhaüsler, Nicolai Meinshausen, Peter Bühlmann
Foundations and new horizons for causal inference
published2020 · Oberwolfach Reports · 6 citations
with Nicolai Meinshausen, Thomas S. Richardson, Bernhard Schölkopf
Learning stable and predictive structures in kinetic systems
published2019 · Proceedings of the National Academy of Sciences · 39 citations
with Niklas Pfister, Stefan Bauer
Invariant Causal Prediction for Nonlinear Models
published2018 · Journal of Causal Inference · 19 citations
with Christina Heinze-Deml, Nicolai Meinshausen
Invariant Causal Prediction for Sequential Data
published2018 · Journal of the American Statistical Association · 95 citations · first circulated 2017
with Niklas Pfister, Peter Bühlmann
Kernel-Based Tests for Joint Independence
published2017 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 5 citations
with Niklas Pfister, Peter Bühlmann, Bernhard Schölkopf
Causal Inference by using Invariant Prediction: Identification and Confidence Intervals
published2016 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 64 citations · first circulated 2015
with Peter Bühlmann, Nicolai Meinshausen
Modeling confounding by half-sibling regression
published2016 · Proceedings of the National Academy of Sciences · 67 citations
with Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel
Analysis and forecasting of demand during promotions for perishable items
published2015 · International Journal of Production Economics · 53 citations
with K.H. van Donselaar, Ad de Jong, R.A.C.M. Broekmeulen
Computing functions of random variables via reproducing kernel Hilbert space representations
published2015 · Statistics and Computing · 31 citations
Structural Intervention Distance for Evaluating Causal Graphs
published2015 · Neural Computation · 100 citations · first circulated 2013
CAM: Causal additive models, high-dimensional order search and penalized regression
published2014 · The Annals of Statistics · 216 citations
with Peter Bühlmann, Jan Ernest
On the Intersection Property of Conditional Independence and its Application to Causal Discovery
published2014 · Journal of Causal Inference · 31 citations
Causal discovery with continuous additive noise models
published2014 · Journal of Machine Learning Research · 284 citations · first circulated 2013
with Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf
Identifiability of Gaussian structural equation models with equal error variances
published2013 · Biometrika · 225 citations
Counterfactual Reasoning and Learning Systems
published2012 · Journal of Machine Learning Research · 85 citations
with Léon Bottou, Joaquin Quiñonero-Candela, Denis Charles, David M. Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, Ed Snelson
On causal and anticausal learning
published2012 · International Conference on Machine Learning · 232 citations
with Dominik Janzing, Eleni Sgouritsa, Kun Zhang, Joris M. Mooij, Bernhard Sch lkopf, Bernhard Schoelkopf
Causal Inference on Discrete Data Using Additive Noise Models
published2011 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 148 citations

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.