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Volumn 22, Issue 1, 2012, Pages

Using time-delayed mutual information to discover and interpret temporal correlation structure in complex populations

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; INFORMATION RETRIEVAL; METHODOLOGY; POPULATION DYNAMICS; STATISTICAL MODEL;

EID: 84859360988     PISSN: 10541500     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.3675621     Document Type: Article
Times cited : (39)

References (29)
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    • Very fast multivariate kernel density estimation using via computational geometry
    • in Joint Stat. Meeting (August 4th, 2003).
    • Gray A.G. Moore A.W. Very fast multivariate kernel density estimation using via computational geometry. and in Joint Stat. Meeting (August 4th, 2003).
    • Gray, A.G.1    Moore, A.W.2
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    • 40649120930 scopus 로고    scopus 로고
    • Critical values of a kernel density-based mutual information estimator
    • in International Joint Conference on Neural Networks (IEEE, Vancouver, BC).
    • May R.J. Dandy G.C. Maier H.R. Fernando T.M. K. G. Critical values of a kernel density-based mutual information estimator. 2006, and in International Joint Conference on Neural Networks (IEEE, Vancouver, BC).
    • (2006)
    • May, R.J.1    Dandy, G.C.2    Maier, H.R.3    Fernando, T.M.K.G.4
  • 19
    • 84859334680 scopus 로고    scopus 로고
    • Estimation of time-delayed mutual information from sparsely sampled sources
    • e-print arXiv:1110.1615.
    • Albers D.J. Hripcsak G. Estimation of time-delayed mutual information from sparsely sampled sources. 2011, and e-print arXiv:1110.1615.
    • (2011)
    • Albers, D.J.1    Hripcsak, G.2
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    • 0001234725 scopus 로고    scopus 로고
    • 10.1016/S0167-2789(98)00269-3.
    • Roulston M.S. Physica D 1999, 125:285. 10.1016/S0167-2789(98)00269-3.
    • (1999) Physica D , vol.125 , pp. 285
    • Roulston, M.S.1
  • 25
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    • 10.1016/j.physleta.2009.12.067
    • Albers D.J. Hripcsak G. Phys. Lett. A 2010, 374:1159. 10.1016/j.physleta.2009.12.067, and.
    • (2010) Phys. Lett. A , vol.374 , pp. 1159
    • Albers, D.J.1    Hripcsak, G.2
  • 26
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    • Using population scale EHR data to understand and test human physiological dynamics
    • e-print arXiv:1110.3317.
    • Albers D.J. Hripcsak G. Using population scale EHR data to understand and test human physiological dynamics. 2011, and e-print arXiv:1110.3317.
    • (2011)
    • Albers, D.J.1    Hripcsak, G.2
  • 27
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    • It may seem odd to normalize indices, but this just keeps the domain of between zero and one.
    • It may seem odd to normalize indices, but this just keeps the domain of between zero and one.
  • 28
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    • To see the variation in the PDF estimates due to small sample sizes, observe the PDF estimates for different sets of uniform random numbers with small cardinality.
    • To see the variation in the PDF estimates due to small sample sizes, observe the PDF estimates for different sets of uniform random numbers with small cardinality.
  • 29
    • 84958275288 scopus 로고    scopus 로고
    • Note, the L1 difference is not technically a distance function or a metric because it does not satisfy the triangle inequality.
    • Note, the L1 difference is not technically a distance function or a metric because it does not satisfy the triangle inequality.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.