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    CSDA
    2010
    77views more  CSDA 2010»
    Efficient importance sampling maximum likelihood estimation of stochastic differential equations
    13 years 6 months ago
    Efficient importance sampling maximum likelihood estimation of stochastic differential equations
    Download  economia.unipv.it
    S. Pastorello, E. Rossi
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    BMCBI
    2010
    175views more  BMCBI 2010»
    Global parameter estimation methods for stochastic biochemical systems
    13 years 6 months ago
    Global parameter estimation methods for stochastic biochemical systems
    Download  www.biomedcentral.com
    Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
    Suresh Kumar Poovathingal, Rudiyanto Gunawan
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    BMCBI
    2006
    223views more  BMCBI 2006»
    PSMIX: an R package for population structure inference via maximum likelihood method
    13 years 6 months ago
    PSMIX: an R package for population structure inference via maximum likelihood method
    Download  www.biomedcentral.com
    Background: Inference of population stratification and individual admixture from genetic markers is an integrative part of a study in diverse situations, such as association mappi...
    Baolin Wu, Nianjun Liu, Hongyu Zhao
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    JCB
    2006
    185views more  JCB 2006»
    Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
    13 years 6 months ago
    Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
    Download  www.mas.ncl.ac.uk
    As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
    Andrew Golightly, Darren J. Wilkinson
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    CSDA
    2010
    157views more  CSDA 2010»
    Robust estimation of constrained covariance matrices for confirmatory factor analysis
    13 years 6 months ago
    Robust estimation of constrained covariance matrices for confirmatory factor analysis
    Download  www.hec.unige.ch
    Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
    E. Dupuis Lozeron, M. P. Victoria-Feser
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