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Statistics, Prediction and Causality for Large-Scale Data

Publications

A Look at Robustness and Stability of $\ell_{1}$-versus $\ell_{0}$-Regularization: Discussion of Papers by Bertsimas et al. and Hastie et al.

Author(s): Yuansi Chen, Armeen Taeb, Peter Bühlmann
Published in: Statistical Science, Issue 35/4, 2020, ISSN 0883-4237
DOI: 10.1214/20-sts809

An Almost Constant Lower Bound of the Isoperimetric Coefficient in the KLS Conjecture

Author(s): Yuansi Chen
Published in: Geometric and Functional Analysis, Issue 31/1, 2021, Page(s) 34-61, ISSN 1016-443X
DOI: 10.1007/s00039-021-00558-4

Goodness-of-fit testing in high dimensional generalized linear models

Author(s): Jana Janková, Rajen D. Shah, Peter Bühlmann, Richard J. Samworth
Published in: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Issue 82/3, 2020, Page(s) 773-795, ISSN 1369-7412
DOI: 10.1111/rssb.12371

Toward causality and improving external validity

Author(s): Peter Bühlmann
Published in: Proceedings of the National Academy of Sciences, Issue 117/42, 2020, Page(s) 25963-25965, ISSN 0027-8424
DOI: 10.1073/pnas.2018002117

Spectral Deconfounding via Perturbed Sparse Linear Models

Author(s): Domagoj Ćevid, Peter Bühlmann, Nicolai Meinshausen
Published in: Journal of Machine Learning Research, 2018, ISSN 1532-4435
DOI: 10.3929/ethz-b-000459190

Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise

Author(s): Pfister, Niklas; Weichwald, Sebastian; Bühlmann, Peter; Schölkopf, Bernhard
Published in: Journal of Machine Learning Research, 2019, Page(s) 1-50, ISSN 1532-4435
DOI: 10.3929/ethz-b-000374036

Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)

Author(s): Kovács, Solt; Li, Housen; Bühlmann, Peter
Published in: Journal of the Korean Statistical Society, 2020, ISSN 1226-3192

Change point detection for graphical models in presence of missing values

Author(s): Londschien, Malte; Kovács, Solt; Bühlmann, Peter
Published in: Journal of Computational and Graphical Statistics, 2019, ISSN 1061-8600

Rejoinder: Invariance, Causality and Robustness

Author(s): Peter Bühlmann
Published in: Statistical Science, Issue 35/3, 2020, ISSN 0883-4237
DOI: 10.1214/20-sts797

Multicarving for high-dimensional post-selection inference

Author(s): Christoph Schultheiss, Claude Renaux, Peter Bühlmann
Published in: Electronic Journal of Statistics, 2021, ISSN 1935-7524
DOI: 10.1214/21-ejs1825

Invariance, Causality and Robustness

Author(s): Peter Bühlmann
Published in: Statistical Science, Issue 35/3, 2020, ISSN 0883-4237
DOI: 10.1214/19-sts721

Intervention stability in statistics: Benefiting from causality

Author(s): Pfister Niklas
Published in: Research Collection, 2019
DOI: 10.3929/ethz-b-000376157