数学物理学报(英文版) ›› 1987, Vol. 7 ›› Issue (1): 43-55.
陈翰馥1, 吴春涛2, 朱允民2
Chen Hanfu1, Wu Chuntao2, Zhu Yunmin2
摘要： In this paper a continuous-time stochastic approximation (S.A.) procedure with randomly varying truncations is proposed, and for its convergence to the value to be sought for it is proved that the conditions imposed on the regression function are rather weak and neither the independence of the increment of the error process nor the boundedness of the procedure are required. The convergence rate and the asymptotic properties for a class of measurement errors are also concerned.