Nonparametric methods for time series and dynamical systems

被引：0
|
作者：
Guegan, D
Scargle, JD
机构：
来源：
STATISTICAL CHALLENGES IN MODERN ASTRONOMY II | 1997年
关键词：
D O I：
暂无
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
We present different approaches to reconstruct a chaotic map and to identify existence of chaos. Using nonparametric techniques, we construct - from observational data - estimates of the embedding dimension, the chaotic map, the invariant measure and the Lyapunov exponent.
引用
收藏
页码：303 / 320
页数：18
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