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A large deviation principle and an expression of the rate function for a discrete stationary Gaussian process

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Publication:296503
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DOI10.3390/e16126722zbMath1338.60080OpenAlexW2020944131MaRDI QIDQ296503

Olivier Faugeras, James N. Maclaurin

Publication date: 15 June 2016

Published in: Entropy (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/e16126722



Mathematics Subject Classification ID

Gaussian processes (60G15) Large deviations (60F10)




Cites Work

  • Unnamed Item
  • Asymptotic description of stochastic neural networks. I: Existence of a large deviation principle
  • Microcanonical distributions for lattice gases
  • The large deviation principle for hypermixing processes
  • Large deviations for stationary Gaussian processes
  • On large deviations of empirical measures for stationary Gaussian processes
  • Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons
  • Asymptotic evaluation of certain markov process expectations for large time. IV
  • On tests for normality


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