系列(地层学)
推论
时间序列
计算机科学
因果推理
计量经济学
人工智能
数学
机器学习
地质学
古生物学
出处
期刊:Wiley series in probability and statistics
日期:2012-06-25
卷期号:: 327-354
被引量:138
标识
DOI:10.1002/9781119945710.ch22
摘要
This chapter contains sections titled: Introduction Causality for time series Graphical representations for time series Representation of systems with latent variables Identification of causal effects Learning causal structures A new parametric model Concluding remarks References
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