ON THE ALMOST SURE CONVERGENCE OF A GENERAL STOCHASTIC-APPROXIMATION PROCEDURE

被引：13

作者：

EVANS, SN

WEBER, NC

机构：

[1] UNIV CAMBRIDGE,STAT LAB,CAMBRIDGE,ENGLAND

[2] UNIV SYDNEY,DEPT MATH STAT,SYDNEY,NSW 2006,AUSTRALIA

来源：

BULLETIN OF THE AUSTRALIAN MATHEMATICAL SOCIETY | 1986年 / 34卷 / 03期

关键词：

D O I：

10.1017/S0004972700010236

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

引用

页码：335 / 342

页数：8

共 50 条

[1] ALMOST SURE CONVERGENCE OF STOCHASTIC-APPROXIMATION PROCEDURES
LI, G
STATISTICA SINICA, 1994, 4 (01) : 361 - 372
[2] ALMOST SURE CONVERGENCE OF STOCHASTIC-APPROXIMATION ALGORITHMS WITH NON-ADDITIVE NOISE
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[3] QUADRATIC MEAN AND ALMOST-SURE CONVERGENCE OF UNBOUNDED STOCHASTIC-APPROXIMATION ALGORITHMS WITH CORRELATED OBSERVATIONS
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[7] RESULT OF CONVERGENCE OF STOCHASTIC-APPROXIMATION ALGORITHMS
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[8] STRONG CONVERGENCE OF A STOCHASTIC-APPROXIMATION ALGORITHM
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[9] CONVERGENCE OF A CLASS OF STOCHASTIC-APPROXIMATION PROCEDURES
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[10] CONVERGENCE OF MOMENTS IN STOCHASTIC-APPROXIMATION METHOD
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