A class of learning/estimation algorithms using nominal values: Asymptotic analysis and applications

DOI10.1023/A:1004622313930zbMath1009.62069MaRDI QIDQ1579641

K. Yin, Bing Liu, G. George Yin, El-Kébir Boukas

Publication date: 11 January 2001

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

zbMATH Keywords

estimationlearningkernel functionmonitoringstochastic approximationsindustrial processespassive strategy

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Learning and adaptive systems in artificial intelligence (68T05) Stochastic approximation (62L20)

Cites Work

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• Passive stochastic approximation
• Nonparametric sequential estimation of zeros and extrema of regression functions
• Budget-Dependent Convergence Rate of Stochastic Approximation
• Rates of Convergence for a Class of Global Stochastic Optimization Algorithms
• Asymptotically optimal rate of convergence of smoothed stochastic recursive algorithms
• Passive stochastic approximation with constant step size and window width
• A Stochastic Approximation Method

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