Modeling and control of data transmission
DOI10.1007/s11009-023-10048-9zbMath1520.60024OpenAlexW4384299956MaRDI QIDQ6172241
Jian Siqi, Chen Jinwen, Dai Yanan, Huang Tanhao
Publication date: 16 August 2023
Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11009-023-10048-9
law of large numbersdata transmissioncontrolled Markov processstochastic recursive systemhigh frequency trade
Stochastic systems and control (93E99) Markov and semi-Markov decision processes (90C40) Dynamical systems and their relations with probability theory and stochastic processes (37A50) Limit theorems in probability theory (60F99)
Cites Work
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- Stochastic recursive algorithms for optimization. Simultaneous perturbation methods
- Asymptotic behavior of constrained stochastic approximations via the theory of large deviations
- Strong convergence of a stochastic approximation algorithm
- Stochastic approximation algorithms with constant step size whose average is cooperative
- Large deviations and rare events in the study of stochastic algorithms
- Analysis of recursive stochastic algorithms
- Asymptotic Behavior of a Markovian Stochastic Algorithm with Constant Step
- Large and moderate deviation principles for recursive kernel density estimators defined by stochastic approximation method
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