Application of multivariate autoregressive modelling for analysis of immunologic networks in man

DOI10.1016/0898-1221(88)90125-3zbMath0647.92005OpenAlexW2071033800MaRDI QIDQ1104877

S. H. Smith

Publication date: 1988

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(88)90125-3

zbMATH Keywords

least squares methodimmunologyimpulse responsestep responseAkaike's method of multivariate autoregressive modellingautoregressive coefficientshelper T-cellsimmunologic networkslymphocyte levelsuppressor T-cellssystemic lupus erythematodes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes and spectral analysis (62M15) Medical applications (general) (92C50)

Related Items (1)

Clinical usefulness of multivariate autoregressive (AR) modelling as a tool for analyzing T-lymphocyte subset fluctuations

Cites Work

• A new ship's auto pilot design through a stochastic model
• Statistical identification for optimal control of supercritical thermal power plants
• On the use of a linear model for the identification of feedback systems
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