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Volumn 4, Issue , 2004, Pages 4157-5162

Stochastic approximation in finite samples using surrogate processes

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CONVERGENCE OF NUMERICAL METHODS; FUNCTIONS; ITERATIVE METHODS; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; VECTORS;

EID: 14244267110     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/cdc.2004.1429404     Document Type: Conference Paper
Times cited : (3)

References (21)
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    • Burkholder, D.1
  • 2
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    • On the asymptotic theory of fixed-width sequential confidence intervals for the mean
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    • (1965) Annals of Mathematical Statistics , vol.36 , pp. 457-462
    • Chow, Y.1    Robbins, H.2
  • 3
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    • J. A. Fill. An interruptible algorithm for perfect sampling via Markov chains. Annals of Applied Probability, 8:131-162, 1998.
    • (1998) Annals of Applied Probability , vol.8 , pp. 131-162
    • Fill, J.A.1
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    • The asymptotic validity of sequential stopping rules for stochastic simulations
    • P. W. Glynn and W. Whitt. The asymptotic validity of sequential stopping rules for stochastic simulations. The Annals of Applied Probability, 2(1):180-198, 1992.
    • (1992) The Annals of Applied Probability , vol.2 , Issue.1 , pp. 180-198
    • Glynn, P.W.1    Whitt, W.2
  • 6
    • 0001079593 scopus 로고
    • Stochastic estimation of the maximum of a regression function
    • J. Kiefer and J. Wolfowitz. Stochastic estimation of the maximum of a regression function. Annals of Mathematical Statistics, 23(3):462-466, 1952.
    • (1952) Annals of Mathematical Statistics , vol.23 , Issue.3 , pp. 462-466
    • Kiefer, J.1    Wolfowitz, J.2
  • 7
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    • Asymptotic properties of stochastic approximations with constant coefficients
    • H. J. Kushner and H. Huang. Asymptotic properties of stochastic approximations with constant coefficients. SIAM Journal on Control and Otimization, 19(1):87-105, 1981.
    • (1981) SIAM Journal on Control and Otimization , vol.19 , Issue.1 , pp. 87-105
    • Kushner, H.J.1    Huang, H.2
  • 11
    • 0022751446 scopus 로고
    • Stochastic minimization with constant stepsize: Asymptotic laws
    • G. C. Pflug. Stochastic minimization with constant stepsize: Asymptotic laws. SIAM Journal on Control and Optimization, 24:655-666, 1986.
    • (1986) SIAM Journal on Control and Optimization , vol.24 , pp. 655-666
    • Pflug, G.C.1
  • 12
    • 0002015332 scopus 로고
    • Stepsize rules, stopping times, and their implementation in stochastic quasigradient algorithms
    • Y. Ermoliev and R. J.-B. Wets, editors. Springer-Verlag, New York
    • G. C. Pflug. Stepsize rules, stopping times, and their implementation in stochastic quasigradient algorithms. In Y. Ermoliev and R. J.-B. Wets, editors, Numerical Techniques for Stochastic Optimization, pages 353-372. Springer-Verlag, New York, 1988.
    • (1988) Numerical Techniques for Stochastic Optimization , pp. 353-372
    • Pflug, G.C.1
  • 17
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    • Uncertainty bounds for parameter identification with small sample sizes
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    • J. C. Spall. Uncertainty bounds for parameter identification with small sample sizes. In Proceedings of the 1995 IEEE Conference on Decision and Control, pages 3504-3515, New Orleans, 1995. IEEE.
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    • Uncertainty bounds in parameter estimation with limited data
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  • 21


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.