GENERAL CONVERGENCE RESULTS FOR STOCHASTIC APPROXIMATIONS VIA WEAK CONVERGENCE THEORY

被引：10

作者：

KUSHNER, HJ ^{[1
]}

机构：

[1] BROWN UNIV,LEFSCHETZ CTR DYNAM SYST,DIV APPL MATH,PROVIDENCE,RI 02912

来源：

关键词：

D O I：

10.1016/0022-247X(77)90133-0

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

引用

页码：490 / 503

页数：14

共 18 条

[1]

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[2]

BLUM J, 1954, ANN MATH STATIST, V25, P734

[3]

DRIML M, 1959, 2ND P PRAG C INF THE

[4]

Fabian V., 1971, OPTIMIZING METHODS S

[5]

FABIAN V, 1966, 4TH P PRAG C STAT DE, P277

[6] STOCHASTIC ESTIMATION OF THE MAXIMUM OF A REGRESSION FUNCTION [J].

KIEFER, J ;

WOLFOWITZ, J .

ANNALS OF MATHEMATICAL STATISTICS, 1952, 23 (03) :462-466

KUSHNER, HJ .

KUSHNER, HJ ;

SANVICENTE, E .

KUSHNER, HJ ;

KELMANSON, ML .

SIAM JOURNAL ON CONTROL, 1976, 14 (05) :827-842

[10]

KUSHNER HJ, TO BE PUBLISHED