G2TT
来源类型Article
规范类型其他
DOI10.1080/15326349508807332
Non-standard limit theorems for urn models and stochastic approximation procedures.
Kaniovski YM; Pflug GC
发表日期1995
出处Stochastic Models 11 (1): 79-102
出版年1995
语种英语
摘要The adaptive processes of growth modeled by a generalized urn scheme have proved to be an efficient tool for the analysis of complex phenomena in economics, biology and physical chemistry. They demonstrate non-ergodic limit behavior with multiple limit states. There are two major sources of complex feedbacks governing these processes: nonlinearity (even local, which is caused by nondifferentiability of the functions driving them) and multiplicity of limit states stipulated by the nonlinearity.We suggest an analytical approach for studying some of the patterns of complex limit behavior. The approach is based on conditional limit theorems. The corresponding limits are, in general, not infinitely divisible. We show that convergence rates could be different for different limit states. The rates depend upon the smoothness (in neighborhoods of the limit states) of the functions governing the processes.
主题Optimization under Uncertainty (OPT) ; Technological and Economic Dynamics (TED)
关键词generalized urn scheme, conditional limit theorems, stochastic approximation
URLhttp://pure.iiasa.ac.at/id/eprint/4270/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127377
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GB/T 7714
Kaniovski YM,Pflug GC. Non-standard limit theorems for urn models and stochastic approximation procedures.. 1995.
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