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Cited by 268Geometric Analysis and Curvature FlowsAdvanced Differential Geometry ResearchStatistical Mechanics and Entropy

The DOI matches its Crossref record.

Information Geometry

Ay, Nihat, Jost, Jürgen, Lê, Hông Vân, Schwachhöfer, Lorenz·2017·Ergebnisse der Mathematik und ihrer Grenzgebiete 34
DOI 10.1007/978-3-319-56478-4
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Crossref · 10.1007/978-3-319-56478-4

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Metadata

Authors
Ay, N., Jost, J., Lê, H. V., & Schwachhöfer, L.
Affiliations
  • Max Planck Institute for Mathematics in the Sciences (DE)
  • Czech Academy of Sciences (CZ)
  • TU Dortmund University (DE)
ORCID
Venue
Ergebnisse der Mathematik und ihrer Grenzgebiete 34
Publisher
Springer International Publishing
Published
2017
ISSN
  • 0071-1136 (ISSN-L)
  • 2197-5655
DOI
10.1007/978-3-319-56478-4
OpenAlex
W4230394162
Cited by
268
References
0
Citations by year
2026: 29 · 2025: 38 · 2024: 24 · 2023: 35 · 2022: 30 · 2021: 43 · 2020: 28 · 2019: 21 · 2018: 16 · 2017: 4
FWCI
12.23
Type
book
Language
de
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
  • Ergebnisse der Mathematik und ihrer Grenzgebiete (publishedVersion)
  • ASEP (submittedVersion, public-domain)
  • CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
  • DIAL (Catholic University of Leuven) (submittedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • tub.dok (Hamburg University of Technology) (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Applied Mathematics › Geometric Analysis and Curvature Flows
  • Physical Sciences › Mathematics › Geometry and Topology › Advanced Differential Geometry Research
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Statistical Mechanics and Entropy
Keywords
information geometry, statistical manifolds, Fisher information metric, Cramér-Rao inequality, hierarchical models, probabilistic graphical models, complexity theory, population genetics, Markov chain Monte Carlo, Riemannian geometry, Banach spaces

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CoChat. (2026). Citation check: Information Geometry. https://app.cochat.ai/papers/10.1007/978-3-319-56478-4
The paper
Ay, N., Jost, J., Lê, H. V., & Schwachhöfer, L. (2017). Information Geometry. Ergebnisse der Mathematik und ihrer Grenzgebiete 34. https://doi.org/10.1007/978-3-319-56478-4