Bayesian deep learning for error estimation in the analysis of anomalous diffusion
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2041-1723
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Bayesian deep learning for error estimation in the analysis of anomalous diffusion ; volume:13 ; number:1 ; day:7 ; month:11 ; year:2022 ; pages:1-13 ; date:12.2022
Nature Communications ; 13, Heft 1 (7.11.2022), 1-13, 12.2022
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41467-022-34305-6
- URN
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urn:nbn:de:101:1-2023012111192777613644
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:32 AM CEST
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Associated
- Seckler, Henrik
- Metzler, Ralf
- SpringerLink (Online service)
Other Objects (12)
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Author Correction: Bayesian deep learning for error estimation in the analysis of anomalous diffusion
Uniform error estimation for convection-diffusion problems
Uniform Error Estimation for Convection-Diffusion Problems
Anomalous heat diffusion
Adaptive Bayesian phase estimation for quantum error correcting codes
Anomalous Diffusion in Ecology
Neural network-based anomalous diffusion parameter estimation approaches for Gaussian processes
Anomalous and apparently anomalous diffusion in the area of neurophysiology : Anomalous and apparently anomalous diffusion in the area ofneurophysiology
Deciphering anomalous diffusion in complex systems using Bayesian inference and large deviation theory
Anomalous diffusion in anisotropic media
Disentangling sources of anomalous diffusion
Anomalous Diffusion in Protein Dynamics
Author Correction: Bayesian deep learning for error estimation in the analysis of anomalous diffusion
Uniform error estimation for convection-diffusion problems
Uniform Error Estimation for Convection-Diffusion Problems
Anomalous heat diffusion
Adaptive Bayesian phase estimation for quantum error correcting codes
Anomalous Diffusion in Ecology
Neural network-based anomalous diffusion parameter estimation approaches for Gaussian processes
Anomalous and apparently anomalous diffusion in the area of neurophysiology : Anomalous and apparently anomalous diffusion in the area ofneurophysiology
Deciphering anomalous diffusion in complex systems using Bayesian inference and large deviation theory
Anomalous diffusion in anisotropic media
Disentangling sources of anomalous diffusion