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Algorithmes stochastiques à bruit dépendant (Dependent noise for stochastic algorithms).

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Publication:1415531
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DOI10.1016/j.crma.2003.07.002zbMath1039.60013OpenAlexW2091121494MaRDI QIDQ1415531

Odile Brandière, Paul Doukhan

Publication date: 4 December 2003

Published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.crma.2003.07.002


zbMATH Keywords

linear regressionordinary differential equation methodlaw of the large numbers for triangular arraysmodeling the dependency of the input noise


Mathematics Subject Classification ID

Inequalities; stochastic orderings (60E15)


Related Items

Almost complete convergence for the sequence of approximate solutions in linear calibration problem with α-mixing random data ⋮ Study of the consistency of a stochastic algorithm under mixing



Cites Work

  • Unnamed Item
  • Stochastic approximation methods for constrained and unconstrained systems
  • A new weak dependence condition and applications to moment inequalities
  • Stochastic approximation and its applications
  • Stochastic algorithms
  • A new covariance inequality and applications.
  • General results on the convergence of stochastic algorithms
  • A Dynamical System Approach to Stochastic Approximations
  • Some Convergence Theorems for Independent Random Variables
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