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

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/..

3

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/..

4

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/..

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

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/..

7

Distributional anchor regression:

Kook, Lucas ; Sick, Beate ; Bühlmann, Peter
Statistics and Computing. 32 (2022) 3 - p. , 2022

Link: https://doi.org/10.1007/..

8

ricu: R's interface to intensive care data:

Bennett, Nicolas ; Plečko, Drago ; Ukor, Ida-Fong..
GigaScience. 12 (2022) - p. , 2022

Link: https://doi.org/10.1093/..

9

Distributional regression modeling via generalized additive..:

Marmolejo‐Ramos, Fernando ; Tejo, Mauricio ; Brabec, Marek...
WIREs Data Mining and Knowledge Discovery. 13 (2022) 1 - p. , 2022

Link: https://doi.org/10.1002/..

10

Identifying cancer pathway dysregulations using differentia..:

Jablonski, Kim Philipp ; Pirkl, Martin ; Ćevid, Domagoj...
Bioinformatics. 38 (2021) 6 - p. 1550-1559 , 2021

Link: https://doi.org/10.1093/..

11

Change-Point Detection for Graphical Models in the Presence..:

Londschien, Malte ; Kovács, Solt ; Bühlmann, Peter
Journal of Computational and Graphical Statistics. 30 (2021) 3 - p. 768-779 , 2021

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

12

Anchor Regression: Heterogeneous Data Meet Causality:

Rothenhäusler, Dominik ; Meinshausen, Nicolai ; Bühlmann, Peter.
Journal of the Royal Statistical Society Series B: Statistical Methodology. 83 (2021) 2 - p. 215-246 , 2021

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

13

Toward causality and improving external validity:

Bühlmann, Peter
Proceedings of the National Academy of Sciences. 117 (2020) 42 - p. 25963-25965 , 2020

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

14

Deconfounding and Causal Regularisation for Stability and E..:

Bühlmann, Peter ; Ćevid, Domagoj
International Statistical Review. 88 (2020) S1 - p. , 2020

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

15

Toward causality and improving external validity:

Bühlmann, Peter
Proceedings of the National Academy of Sciences of the United States of America. 117 (2020) 42 - p. 25963-25965 , 2020

Link: https://www.jstor.org/st..