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转移熵 (查看源代码)

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虽然转移熵最初定义为双变量分析，但它已经扩展到多变量形式，或者对其他潜在源变量进行调节，<ref>{{cite journal|last=Lizier|first=Joseph|author2=Prokopenko, Mikhail |author3=Zomaya, Albert |title=Local information transfer as a spatiotemporal filter for complex systems|journal=Physical Review E|year=2008|volume=77|issue=2|pages=026110|doi=10.1103/PhysRevE.77.026110|pmid=18352093|arxiv=0809.3275|bibcode=2008PhRvE..77b6110L}}</ref> 或者考虑从一组源的传递，<ref name = Lizier2011>{{cite journal|last=Lizier|first=Joseph|author2=Heinzle, Jakob |author3=Horstmann, Annette |author4=Haynes, John-Dylan |author5= Prokopenko, Mikhail |title=Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity|journal=Journal of Computational Neuroscience|year=2011|volume=30|issue=1|pages=85–107|doi=10.1007/s10827-010-0271-2|pmid=20799057}}</ref>尽管这些形式再次需要更多的样本。

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转移熵被用于估计神经元的功能连接<ref>{{cite journal|last=Vicente|first=Raul|author2=Wibral, Michael |author3=Lindner, Michael |author4= Pipa, Gordon |title=Transfer entropy—a model-free measure of effective connectivity for the neurosciences |journal=Journal of Computational Neuroscience|date=February 2011|volume=30|issue=1|pages=45–67|doi=10.1007/s10827-010-0262-3|pmid=20706781|pmc=3040354}}</ref><ref name = Shimono2014>{{cite journal|last=Shimono|first=Masanori|author2=Beggs, John |title=Functional clusters, hubs, and communities in the cortical microconnectome |url=https://cercor.oxfordjournals.org/content/early/2014/10/21/cercor.bhu252.full |journal=Cerebral Cortex|date= October 2014|volume=25|issue=10|pages=3743–57|doi=10.1093/cercor/bhu252 |pmid=25336598 |pmc=4585513}}</ref>和社交网络的社交影响。<ref name=Greg>{{cite conference |arxiv=1110.2724|title= Information transfer in social media|last1= Ver Steeg |first1= Greg|last2=Galstyan|first2= Aram |year= 2012|publisher= [[Association for Computing Machinery|ACM]]|booktitle= Proceedings of the 21st international conference on World Wide Web (WWW '12) |pages= 509–518 |bibcode=2011arXiv1110.2724V}}</ref>

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转移熵被用于估计神经元的功能连接<ref>{{cite journal|last=Vicente|first=Raul|author2=Wibral, Michael |author3=Lindner, Michael |author4= Pipa, Gordon |title=Transfer entropy—a model-free measure of effective connectivity for the neurosciences |journal=Journal of Computational Neuroscience|date=February 2011|volume=30|issue=1|pages=45–67|doi=10.1007/s10827-010-0262-3|pmid=20706781|pmc=3040354}}</ref><ref name = Shimono2014>{{cite journal|last=Shimono|first=Masanori|author2=Beggs, John |title=Functional clusters, hubs, and communities in the cortical microconnectome |url=https://cercor.oxfordjournals.org/content/early/2014/10/21/cercor.bhu252.full |journal=Cerebral Cortex|date= October 2014|volume=25|issue=10|pages=3743–57|doi=10.1093/cercor/bhu252 |pmid=25336598 |pmc=4585513}}</ref>和社交网络的社交影响。<ref name=Greg>{{cite conference |arxiv=1110.2724|title= Information transfer in social media|last1= Ver Steeg |first1= Greg|last2=Galstyan|first2= Aram |year= 2012|publisher= [[Association for Computing Machinery|ACM|booktitle= Proceedings of the 21st international conference on World Wide Web (WWW '12) |pages= 509–518 |bibcode=2011arXiv1110.2724V}}</ref>

转移熵是有向信息的有限形式，1990年由詹姆斯·梅西 James Massey<ref>{{cite journal|last1=Massey|first1=James|title=Causality, Feedback And Directed Information|date=1990|issue=ISITA|citeseerx=10.1.1.36.5688}}</ref>定义为

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