Sparse inference and active learning of stochastic differential equations from data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- 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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Sparse inference and active learning of stochastic differential equations from data ; volume:12 ; number:1 ; day:15 ; month:12 ; year:2022 ; pages:1-17 ; date:12.2022
Scientific reports ; 12, Heft 1 (15.12.2022), 1-17, 12.2022
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-022-25638-9
- URN
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urn:nbn:de:101:1-2023022421091550408689
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:48 AM CEST
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Associated
- Huang, Yunfei
- Mabrouk, Youssef
- Gompper, Gerhard
- Sabass, Benedikt
- SpringerLink (Online service)
Other Objects (12)
Author Correction: Sparse inference and active learning of stochastic differential equations from data
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Author Correction: Sparse inference and active learning of stochastic differential equations from data
Moment-Based Variational Inference for Stochastic Differential Equations
Statistical Inference for Stochastic Differential Equations using Splitting Schemes
Simulation of stochastic partial differential equations and stochastic active contours
Inference for high-dimensional sparse econometric models
Statistical inference for discrete-time samples from affine stochastic delay differential equations
Statistical inference for discretely sampled stochastic functional differential equations with small noise
Into space: Statistical inference for stochastic partial differential equations using spatial information
Stochastic thermodynamics : from hydrodynamics to stochastic inference
Stochastic convex sparse principal component analysis
Limit theorems and statistical inference for solutions of some stochastic (partial) differential equations
Statistical inference for stochastic processes
Author Correction: Sparse inference and active learning of stochastic differential equations from data
Moment-Based Variational Inference for Stochastic Differential Equations
Statistical Inference for Stochastic Differential Equations using Splitting Schemes
Simulation of stochastic partial differential equations and stochastic active contours
Inference for high-dimensional sparse econometric models
Statistical inference for discrete-time samples from affine stochastic delay differential equations
Statistical inference for discretely sampled stochastic functional differential equations with small noise
Into space: Statistical inference for stochastic partial differential equations using spatial information
Stochastic thermodynamics : from hydrodynamics to stochastic inference
Stochastic convex sparse principal component analysis
Limit theorems and statistical inference for solutions of some stochastic (partial) differential equations