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Peer-reviewedLicence not statedThe Annals of Statistics

Data assimilation with the 2D Navier–Stokes equations: Optimal Gaussian asymptotics for the posterior measure

  • Dimitri Konen1
  • Richard Nickl1
  1. 1Department of Pure Mathematics and Mathematical Statistics, University of Cambridge
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Cite

BibTeXRIS
BibTeX
@article{konen2026data,
  title = {{Data assimilation with the 2D Navier–Stokes equations: Optimal Gaussian asymptotics for the posterior measure}},
  author = {Dimitri Konen and Richard Nickl},
  journal = {The Annals of Statistics},
  year = {2026},
  month = oct,
  doi = {10.1214/26-aos2645},
  url = {https://arxiv.org/abs/2507.18279},
}
RIS
TY  - JOUR
TI  - Data assimilation with the 2D Navier–Stokes equations: Optimal Gaussian asymptotics for the posterior measure
AU  - Dimitri Konen
AU  - Richard Nickl
PY  - 2026
DA  - 2026/10/01
JO  - The Annals of Statistics
DO  - 10.1214/26-aos2645
UR  - https://arxiv.org/abs/2507.18279
SN  - 0090-5364
SN  - 2168-8966
ER  -