Measuring the coupling of hormone concentration time series using polynomial transfer functions

被引:0
|
作者
Fox, CR [1 ]
Farhy, LS [1 ]
Evans, WS [1 ]
Johnson, ML [1 ]
机构
[1] Univ Virginia Hlth Syst, Div Endocrinol & Metab, Dept Internal Med, Charlottesville, VA 22901 USA
来源
关键词
D O I
暂无
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
引用
收藏
页码:82 / 94
页数:13
相关论文
共 50 条
  • [1] Modeling of topography measuring instrument transfer functions by time series models
    Keksel, A.
    Eifler, M.
    Seewig, J.
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2018, 29 (09)
  • [2] Cepstral distance measures of hormone concentration time series
    Milosavljevic, M
    Damjanovic, S
    Kocev, N
    Marinkovic, J
    [J]. MEDINFO '98 - 9TH WORLD CONGRESS ON MEDICAL INFORMATICS, PTS 1 AND 2, 1998, 52 : 385 - 388
  • [3] Momentary information transfer as a coupling measure of time series
    Pompe, Bernd
    Runge, Jakob
    [J]. PHYSICAL REVIEW E, 2011, 83 (05):
  • [4] Time optimization for polynomial series using a long For in C
    Medina Angel, Gustavo
    Cruz Chavez, Marco
    Burlak, Gennadiy
    [J]. INTERNATIONAL JOURNAL OF COMBINATORIAL OPTIMIZATION PROBLEMS AND INFORMATICS, 2020, 11 (03): : 130 - 135
  • [5] Meteorological time series forecasting based on MLP modelling using heterogeneous transfer functions
    Voyant, C.
    Nivet, M. L.
    Paoli, C.
    Muselli, M.
    Notton, G.
    [J]. 3RD INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES (IC-MSQUARE 2014), 2015, 574
  • [6] Quantile transfer entropy: Measuring the heterogeneous information transfer of nonlinear time series
    Zhang, Na
    Zhao, Xiaojun
    [J]. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2022, 111
  • [7] Measuring Coupling of Rhythmical Time Series Using Cross Sample Entropy and Cross Recurrence Quantification Analysis
    McCamley, John
    Denton, William
    Lyden, Elizabeth
    Yentes, Jennifer M.
    [J]. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2017, 2017
  • [8] Transfer mutual information: A new method for measuring information transfer to the interactions of time series
    Zhao, Xiaojun
    Shang, Pengjian
    Lin, Aijing
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 467 : 517 - 526
  • [9] Prediction of the chaotic time series using multivariate local polynomial regression
    Zhou Yong-Dao
    Ma Hong
    Lue Wang-Yong
    Wang Hui-Qi
    [J]. ACTA PHYSICA SINICA, 2007, 56 (12) : 6809 - 6814
  • [10] Time Series Prediction Using Dynamic Ridge Polynomial Neural Networks
    Ghazali, Rozaida
    Hussain, Abir Jaafar
    Al-Jumeily, Dhiya
    Lisboa, Paulo
    [J]. 2009 SECOND INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2009), 2009, : 354 - +