المؤلفون: Zhong, L., Chen, Y., Zhang, X., Liu, S., Wu, Y., Liu, Y., Lin, L., Feng, Q., Chen, W., Yang, W.

المصدر: IEEE Journal of Biomedical and Health Informatics IEEE J. Biomed. Health Inform. Biomedical and Health Informatics, IEEE Journal of. 24(4):1114-1124 Apr, 2020

المؤلفون: Kook, Lucas^{Aff1, Aff2, IDs1122202210097z_cor1}, Sick, Beate^{Aff1, Aff2}, Bühlmann, Peter

المصدر: Statistics and Computing. 32(3)

المؤلفون: Székely, Enikő, Sippel, Sebastian, Meinshausen, Nicolai, Obozinski, Guillaume, Knutti, Reto

المصدر: arXiv

مصطلحات موضوعية: Detection and attribution, Distributional robustness, Anchor regression, Mean independence, Interventions

وصف الملف: application/application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411b1d58d03cb0a7b3a4f479fd27b873
https://hdl.handle.net/20.500.11850/590369

المؤلفون: Lucas Kook, Beate Sick, Peter Bühlmann

المصدر: Statistics and Computing, 32 (3)

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Covariate shift, 510: Mathematik, Anchor regression, Diluted causality, Distributional regression, Transformation models, Out-of-distribution generalization, Theoretical Computer Science, Methodology (stat.ME), Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Statistics - Methodology

وصف الملف: application/application/pdf; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01c4b74257e6ea3ae7ee728317c73360
https://doi.org/10.1007/s11222-022-10097-z

المؤلفون: Peter Bühlmann

المصدر: Statistical Science, 35 (3)
Statist. Sci. 35, no. 3 (2020), 404-426
Statistical Science

مصطلحات موضوعية: Statistics and Probability, FOS: Computer and information sciences, Random Forests, Computer science, General Mathematics, interventional data, Machine learning, computer.software_genre, 01 natural sciences, Methodology (stat.ME), 010104 statistics & probability, 03 medical and health sciences, causal regularization, Anchor regression, distributional robustness, heterogeneous data, instrumental variables regression, variable importance, Robustness (computer science), 0101 mathematics, Statistics - Methodology, 030304 developmental biology, 0303 health sciences, Data collection, business.industry, Minimization problem, Probabilistic logic, Regression, Random forest, Causal inference, Artificial intelligence, Statistics, Probability and Uncertainty, 62J99, business, computer

وصف الملف: application/application/pdf; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93c21904f28c7cfc696c5571ed3c5971

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المؤلفون: Peter Bühlmann

المصدر: Statist. Sci. 35, no. 3 (2020), 434-436
Statistical Science, 35 (3)
Statistical Science

مصطلحات موضوعية: Statistics and Probability, Value (ethics), random forests, 0303 health sciences, distributional robustness, heterogeneous treatment effects, General Mathematics, Perspective (graphical), Anchor regression, instrumental variables regression, 01 natural sciences, Epistemology, Causality (physics), 010104 statistics & probability, 03 medical and health sciences, causal regularization, Sociology, 0101 mathematics, Statistics, Probability and Uncertainty, Robustness (economics), 030304 developmental biology

وصف الملف: application/pdf; application/application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee43b547da3138fc10ed889795b2b4dd