E-LIB Suche - Ergebnisse für: Bühlmann, Peter

1

Model selection over partially ordered sets:

Taeb, Armeen ; Bühlmann, Peter ; Chandrasekaran, Venkat
info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.2314228121. , 2024

Link: https://hdl.handle.net/2..

2

Model selection over partially ordered sets:

Taeb, Armeen ; Bühlmann, Peter ; Chandrasekaran, Venkat
https://doi.org/10.1073/pnas.2314228121. , 2024

Link: https://doi.org/10.1073/..

3

Distributionally Robust Machine Learning with Multi-source ..:

Wang, Zhenyu ; Bühlmann, Peter ; Guo, Zijian
http://arxiv.org/abs/2309.02211. , 2023

Link: http://arxiv.org/abs/230..

4

Distributional Robustness and Transfer Learning Through Emp..:

Law, Michael ; Bühlmann, Peter ; Ritov, Ya'acov
http://arxiv.org/abs/2312.08485. , 2023

Link: http://arxiv.org/abs/231..

5

Confidence and Uncertainty Assessment for Distributional Ra..:

Näf, Jeffrey ; Emmenegger, Corinne ; Bühlmann, Peter.
http://arxiv.org/abs/2302.05761. , 2023

Link: http://arxiv.org/abs/230..

6

Ancestor regression in linear structural equation models:

Schultheiss, Christoph ; Bühlmann, Peter
info:eu-repo/semantics/altIdentifier/doi/10.1093/biomet/asad008. , 2023

Link: https://hdl.handle.net/2..

7

Distributional regression modeling via generalized additive..:

Marmolejo-Ramos, Fernando ; Tejo, Mauricio ; Brabec, Marek...
info:eu-repo/semantics/altIdentifier/doi/10.1002/widm.1479. , 2023

Link: https://hdl.handle.net/2..

8

ricu: R's interface to intensive care data:

Bennett, Nicolas ; Plečko, Drago ; Ukor, Ida-Fong..
info:eu-repo/semantics/altIdentifier/doi/10.1093/gigascience/giad041. , 2023

Link: https://hdl.handle.net/2..

9

Seeded Binary Segmentation: A general methodology for fast ..:

Kovács, Solt ; Li, Housen ; Bühlmann, Peter.
info:eu-repo/semantics/altIdentifier/doi/10.1093/biomet/asac052. , 2023

Link: https://hdl.handle.net/2..

10

Invariant Probabilistic Prediction:

Henzi, Alexander ; Shen, Xinwei ; Law, Michael.
http://arxiv.org/abs/2309.10083. , 2023

Link: http://arxiv.org/abs/230..

11

On the pitfalls of Gaussian likelihood scoring for causal d..:

Schultheiss Christoph ; Bühlmann Peter
https://doi.org/10.1515/jci-2022-0068. , 2023

Link: https://doi.org/10.1515/..

12

Spectral Deconfounding for High-Dimensional Sparse Additive..:

Scheidegger, Cyrill ; Guo, Zijian ; Bühlmann, Peter
http://arxiv.org/abs/2312.02860. , 2023

Link: http://arxiv.org/abs/231..

13

Predicting sepsis using deep learning across international ..:

Moor, Michael ; Bennett, Nicolas ; Plečko, Drago...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.eclinm.2023.102124. , 2023

Link: https://hdl.handle.net/2..

14

Confidence and Uncertainty Assessment for Distributional Ra..:

Näf, Jeffrey ; id_orcid:0 000-0003-0920-1899 ; Emmenegger, Corinne...
info:eu-repo/semantics/altIdentifier/wos/001130283200001. , 2023

Link: https://hdl.handle.net/2..

15

TSCI: two stage curvature identification for causal inferen..:

Carl, David ; Emmenegger, Corinne ; Bühlmann, Peter.
http://arxiv.org/abs/2304.00513. , 2023

Link: http://arxiv.org/abs/230..