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Peter Bühlmann

Showing results (1-10 of 48) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|October 13, 2020
Toward causality and improving external validityPeter Bühlmann
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Low-order conditional independence graphs for inferring genetic networksAnja Wille, Peter Bühlmann
Neural Computation|January 21, 2015
Structural intervention distance for evaluating causal graphsJonas Peters, Peter Bühlmann
Bioinformatics (Oxford, England)|August 31, 2006
Model-based boosting in high dimensionsTorsten Hothorn, Peter Bühlmann
The International Journal of Biostatistics|May 27, 2016
A Sequential Rejection Testing Method for High-Dimensional Regression with Correlated VariablesJacopo Mandozzi, Peter Bühlmann
Genome Biology|January 23, 2003
Supervised clustering of genesMarcel Dettling, Peter Bühlmann
Bioinformatics (Oxford, England)|June 13, 2003
Boosting for tumor classification with gene expression dataMarcel Dettling, Peter Bühlmann
Bioinformatics (Oxford, England)|November 1, 2011
MissForest--non-parametric missing value imputation for mixed-type dataDaniel J Stekhoven, Peter Bühlmann
Bioinformatics (Oxford, England)|February 17, 2007
Analyzing gene expression data in terms of gene sets: methodological issuesJelle J Goeman, Peter Bühlmann
Statistical Methods in Medical Research|November 26, 2011
Controlling false positive selections in high-dimensional regression and causal inferencePeter Bühlmann, Philipp Rütimann, Markus Kalisch
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Proceedings of the National Academy of Sciences of the United States of America|October 13, 2020
Toward causality and improving external validityPeter Bühlmann
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Low-order conditional independence graphs for inferring genetic networksAnja Wille, Peter Bühlmann
Neural Computation|January 21, 2015
Structural intervention distance for evaluating causal graphsJonas Peters, Peter Bühlmann
Bioinformatics (Oxford, England)|August 31, 2006
Model-based boosting in high dimensionsTorsten Hothorn, Peter Bühlmann
The International Journal of Biostatistics|May 27, 2016
A Sequential Rejection Testing Method for High-Dimensional Regression with Correlated VariablesJacopo Mandozzi, Peter Bühlmann
Genome Biology|January 23, 2003
Supervised clustering of genesMarcel Dettling, Peter Bühlmann
Bioinformatics (Oxford, England)|June 13, 2003
Boosting for tumor classification with gene expression dataMarcel Dettling, Peter Bühlmann
Bioinformatics (Oxford, England)|November 1, 2011
MissForest--non-parametric missing value imputation for mixed-type dataDaniel J Stekhoven, Peter Bühlmann
Bioinformatics (Oxford, England)|February 17, 2007
Analyzing gene expression data in terms of gene sets: methodological issuesJelle J Goeman, Peter Bühlmann
Statistical Methods in Medical Research|November 26, 2011
Controlling false positive selections in high-dimensional regression and causal inferencePeter Bühlmann, Philipp Rütimann, Markus Kalisch
Pageof 5