General convergence results for stochastic approximations via weak convergence theory
暂无分享，去创建一个
[1] H. Kushner. Rates of Convergence for Sequential Monte Carlo Optimization Methods , 1978 .
[2] H. Kushner,et al. Stochastic Approximation Algorithms of the Multiplier Type for the Sequential Monte Carlo Optimization of Stochastic Systems , 1976 .
[3] L. Ljung,et al. Counterexamples to general convergence of a commonly used recursive identification method , 1975 .
[4] H. Kushner,et al. Stochastic approximation of constrained systems with system and constraint noise , 1975, at - Automatisierungstechnik.
[5] Harold J. Kushner,et al. STOCHASTIC APPROXIMATION ALGORITHMS FOR CONSTRAINED OPTIMIZATION PROBLEMS , 1974 .
[6] Lennart Ljung,et al. Convergence of Recursive Stochastic Algorithms , 1974 .
[7] T. Lindvall,et al. Weak convergence of probability measures and random functions in the function space D[0,∞) , 1973, Journal of Applied Probability.
[8] P. Billingsley,et al. Convergence of Probability Measures , 1970, The Mathematical Gazette.
[9] M. T. Wasan. Stochastic Approximation , 1969 .
[10] D. Sakrison. A Continuous Kiefer-Wolfowitz Procedure for Random Processes , 1964 .
[11] J. Blum. Multidimensional Stochastic Approximation Methods , 1954 .
[12] J. Kiefer,et al. Stochastic Estimation of the Maximum of a Regression Function , 1952 .