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Lipeng Ning1,2
1Brigham and Women's Hospital, Boston, MA, USA.
本研究引入了先进的信息理论方法,以改进分析时间序列网络的格兰杰因果关系测量 (GCM). 与现有方法相比,新技术提供了更准确的网络结构识别.
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