E-LIB Suche - Ergebnisse für: Bühlmann, Peter

1

Model selection over partially ordered sets:

Taeb, Armeen ; Bühlmann, Peter ; Chandrasekaran, Venkat
Proceedings of the National Academy of Sciences. 121 (2024) 8 - p. , 2024

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

2

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..

3

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/..

4

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

Schultheiss, Christoph ; Bühlmann, Peter
Journal of Causal Inference. 11 (2023) 1 - p. , 2023

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

5

Discussion of "A Scale-Free Approach for False Discovery Ra..:

Law, Michael ; Bühlmann, Peter
Journal of the American Statistical Association. 118 (2023) 543 - p. 1578-1583 , 2023

Link: https://doi.org/10.1080/..

6

ClinicalAureobasidiumIsolates Are More Fungicide Sensitive ..:

Magoye, Electine ; Nägeli, Lukas ; Bühlmann, Andreas...
Microbiology Spectrum. 11 (2023) 2 - p. , 2023

Link: https://doi.org/10.1128/..

7

Plug‐in machine learning for partially linear mixed‐effects..:

Emmenegger, Corinne ; Bühlmann, Peter
Scandinavian Journal of Statistics. 50 (2023) 4 - p. 1553-1567 , 2023

Link: https://doi.org/10.1111/..

8

Higher-Order Least Squares: Assessing Partial Goodness of F..:

Schultheiss, Christoph ; Bühlmann, Peter ; Yuan, Ming
Journal of the American Statistical Association. , 2023

Link: https://doi.org/10.1080/..

9

Predicting sepsis using deep learning across international ..:

Moor, Michael ; Bennett, Nicolas ; Plečko, Drago...
eClinicalMedicine. 62 (2023) - p. 102124 , 2023

Link: https://doi.org/10.1016/..

10

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..

11

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..

12

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..

13

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..

14

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..

15

Predicting sepsis using deep learning across international ..:

Michael Moor ; Nicolas Bennett ; Drago Plečko...
http://www.sciencedirect.com/science/article/pii/S2589537023003012. , 2023

Link: https://doi.org/10.1016/..