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    » Causality quantification and its applications: structuring a...
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    SDM
    2012
    SIAM
    355views Data Mining» more  SDM 2012»
    Granger Causality Analysis in Irregular Time Series
    11 years 7 months ago
    Granger Causality Analysis in Irregular Time Series
    Download  www-scf.usc.edu
    Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
    Mohammad Taha Bahadori, Yan Liu
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    JMLR
    2008
    144views more  JMLR 2008»
    Search for Additive Nonlinear Time Series Causal Models
    13 years 5 months ago
    Search for Additive Nonlinear Time Series Causal Models
    Download  jmlr.csail.mit.edu
    Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
    Tianjiao Chu, Clark Glymour
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    ESANN
    2007
    152views Neural Networks» more  ESANN 2007»
    Causality analysis of LFPs in micro-electrode arrays based on mutual information
    13 years 6 months ago
    Causality analysis of LFPs in micro-electrode arrays based on mutual information
    Download  www.dice.ucl.ac.be
    Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
    Nikolay V. Manyakov, Marc M. Van Hulle
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    BMCBI
    2007
    215views more  BMCBI 2007»
    Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
    13 years 5 months ago
    Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
    Download  www.biomedcentral.com
    Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
    Rainer Opgen-Rhein, Korbinian Strimmer
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    BMCBI
    2007
    169views more  BMCBI 2007»
    Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and i
    13 years 5 months ago
    Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and i
    Download  www.biomedcentral.com
    Background: Gene expression microarray and other multiplex data hold promise for addressing the challenges of cellular complexity, refined diagnoses and the discovery of well-targ...
    Abdallah Sayyed-Ahmad, Kagan Tuncay, Peter J. Orto...
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