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Peter Bühlmann

Showing results (11-20 of 48) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|February 16, 2024
Model selection over partially ordered setsArmeen Taeb, Peter Bühlmann, Venkat Chandrasekaran
Journal of the American Statistical Association|July 8, 2024
Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal ModelsChristoph Schultheiss, Peter Bühlmann, Ming Yuan
Biometrical Journal. Biometrische Zeitschrift|March 10, 2010
Decomposition and model selection for large contingency tablesCorinne Dahinden, Markus Kalisch, Peter Bühlmann
Statistics and Computing|May 18, 2022
Distributional anchor regressionLucas Kook, Beate Sick, Peter Bühlmann
Annals of Statistics|August 12, 2022
DOUBLY DEBIASED LASSO: HIGH-DIMENSIONAL INFERENCE UNDER HIDDEN CONFOUNDINGZijian Guo, Domagoj Ćevid, Peter Bühlmann
The Plant Journal : for Cell and Molecular Biology|August 8, 2007
EVE (external variance estimation) increases statistical power for detecting differentially expressed genesAnja Wille, Wilhelm Gruissem, Peter Bühlmann, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 22, 2010
Protein and gene model inference based on statistical modeling in k-partite graphsSarah Gerster, Ermir Qeli, Christian H Ahrens, et al.
BMC Bioinformatics|December 13, 2007
Penalized likelihood for sparse contingency tables with an application to full-length cDNA librariesCorinne Dahinden, Giovanni Parmigiani, Mark C Emerick, et al.
Nature Methods|April 1, 2010
Predicting causal effects in large-scale systems from observational dataMarloes H Maathuis, Diego Colombo, Markus Kalisch, et al.
Bioinformatics (Oxford, England)|December 20, 2021
Identifying cancer pathway dysregulations using differential causal effectsKim Philipp Jablonski, Martin Pirkl, Domagoj Ćevid, et al.
Pageof 5

Showing results (11-20 of 48) with videos related to

Sort By:
Pageof 5
Proceedings of the National Academy of Sciences of the United States of America|February 16, 2024
Model selection over partially ordered setsArmeen Taeb, Peter Bühlmann, Venkat Chandrasekaran
Journal of the American Statistical Association|July 8, 2024
Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal ModelsChristoph Schultheiss, Peter Bühlmann, Ming Yuan
Biometrical Journal. Biometrische Zeitschrift|March 10, 2010
Decomposition and model selection for large contingency tablesCorinne Dahinden, Markus Kalisch, Peter Bühlmann
Statistics and Computing|May 18, 2022
Distributional anchor regressionLucas Kook, Beate Sick, Peter Bühlmann
Annals of Statistics|August 12, 2022
DOUBLY DEBIASED LASSO: HIGH-DIMENSIONAL INFERENCE UNDER HIDDEN CONFOUNDINGZijian Guo, Domagoj Ćevid, Peter Bühlmann
The Plant Journal : for Cell and Molecular Biology|August 8, 2007
EVE (external variance estimation) increases statistical power for detecting differentially expressed genesAnja Wille, Wilhelm Gruissem, Peter Bühlmann, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 22, 2010
Protein and gene model inference based on statistical modeling in k-partite graphsSarah Gerster, Ermir Qeli, Christian H Ahrens, et al.
BMC Bioinformatics|December 13, 2007
Penalized likelihood for sparse contingency tables with an application to full-length cDNA librariesCorinne Dahinden, Giovanni Parmigiani, Mark C Emerick, et al.
Nature Methods|April 1, 2010
Predicting causal effects in large-scale systems from observational dataMarloes H Maathuis, Diego Colombo, Markus Kalisch, et al.
Bioinformatics (Oxford, England)|December 20, 2021
Identifying cancer pathway dysregulations using differential causal effectsKim Philipp Jablonski, Martin Pirkl, Domagoj Ćevid, et al.
Pageof 5