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Local convergence theorems for adaptive stochastic approximation schemes
For the regression model y = M(x) + ε, adaptive stochastic approximation schemes of the form x(n+1) = x(n) — y(n)/(nb(n)) for choosing the levels x(1),x(2),... at which y(1),y(2),... are observed converge with probability 1 to the unknown root θ of the regression function M(x). Certain local converg...
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| 發表在: | Proc Natl Acad Sci U S A |
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| Main Authors: | , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
National Academy of Sciences
1979
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC383763/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/16592673/ https://ncbi.nlm.nih.govhttps://doi.org/10.1073/pnas.76.7.3065 |
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