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Domain adaptation under structural causal models


Oct 29, 2020
Yuansi Chen, Peter Bühlmann

* 75 pages, 19 figures 

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Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries


Oct 20, 2020
Solt Kovács, Housen Li, Lorenz Haubner, Axel Munk, Peter Bühlmann


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Deconfounding and Causal Regularization for Stability and External Validity


Aug 14, 2020
Peter Bühlmann, Domagoj Ćevid

* 23 pages, 7 figures 

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Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression


May 29, 2020
Domagoj Ćevid, Loris Michel, Nicolai Meinshausen, Peter Bühlmann


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Change point detection for graphical models in presence of missing values


Jul 11, 2019
Malte Londschien, Solt Kovács, Peter Bühlmann


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groupICA: Independent component analysis for grouped data


Jun 04, 2018
Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf

* equal contribution between Pfister and Weichwald 

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Distributional Equivalence and Structure Learning for Bow-free Acyclic Path Diagrams


Dec 02, 2017
Christopher Nowzohour, Marloes H. Maathuis, Robin J. Evans, Peter Bühlmann


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Kernel-based Tests for Joint Independence


Nov 04, 2016
Niklas Pfister, Peter Bühlmann, Bernhard Schölkopf, Jonas Peters

* 67 pages 

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Score-based Causal Learning in Additive Noise Models


Jul 13, 2015
Christopher Nowzohour, Peter Bühlmann

* Statistics Vol. 50, Iss. 3, 2016 

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CAM: Causal additive models, high-dimensional order search and penalized regression


Dec 01, 2014
Peter Bühlmann, Jonas Peters, Jan Ernest

* Annals of Statistics 2014, Vol. 42, No. 6, 2526-2556 
* Published in at http://dx.doi.org/10.1214/14-AOS1260 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

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Structural Intervention Distance (SID) for Evaluating Causal Graphs


Apr 07, 2014
Jonas Peters, Peter Bühlmann

* Neural Computation 27:771-799, 2015 

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High-dimensional learning of linear causal networks via inverse covariance estimation


Nov 14, 2013
Po-Ling Loh, Peter Bühlmann

* 41 pages, 7 figures 

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Identifiability of Gaussian structural equation models with equal error variances


Aug 28, 2013
Jonas Peters, Peter Bühlmann

* Biometrika 2014, Vol. 101, No. 1, 219-228 

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MissForest - nonparametric missing value imputation for mixed-type data


Sep 27, 2011
Daniel J. Stekhoven, Peter Bühlmann

* Bioinformatics Vol. 28 no. 1 2012, pages 112-118 
* Submitted to Oxford Journal's Bioinformatics on 3rd of May 2011 

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High-dimensional additive modeling


Nov 18, 2009
Lukas Meier, Sara van de Geer, Peter Bühlmann

* Annals of Statistics 2009, Vol. 37, No. 6B, 3779-3821 
* Published in at http://dx.doi.org/10.1214/09-AOS692 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

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On the conditions used to prove oracle results for the Lasso


Oct 05, 2009
Sara A. van de Geer, Peter Bühlmann

* Electronic Journal of Statistics, 3, (2009), 1360-1392 
* 33 pages, 1 figure 

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P-values for high-dimensional regression


Jun 12, 2009
Nicolai Meinshausen, Lukas Meier, Peter Bühlmann

* 25 pages, 4 figures 

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Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling


Mar 13, 2009
Shuheng Zhou, Sara van de Geer, Peter Bühlmann

* 30 pages 

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