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    CSDA
    2010
    98views more  CSDA 2010»
    Design-based estimation for geometric quantiles with application to outlier detection
    14 years 10 months ago
    Design-based estimation for geometric quantiles with application to outlier detection
    Download  math.u-bourgogne.fr
    Geometric quantiles are investigated using data collected from a complex survey. Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses th...
    Mohamed Chaouch, Camelia Goga
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    DSS
    2006
    84views more  DSS 2006»
    Reputation distribution and consumer-to-consumer online auction market structure: an exploratory study
    14 years 10 months ago
    Reputation distribution and consumer-to-consumer online auction market structure: an exploratory study
    Download  zlin.ba.ttu.edu
    The rapid growth of the consumer-to-consumer online auction market demands research into its market structure and future trends. We propose that online reputation is becoming an i...
    Zhangxi Lin, Dahui Li, Balaji Janamanchi, Wayne Hu...
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    IJAR
    2006
    118views more  IJAR 2006»
    Learning Bayesian network parameters under order constraints
    14 years 10 months ago
    Learning Bayesian network parameters under order constraints
    Download  www.cs.uu.nl
    We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
    A. J. Feelders, Linda C. van der Gaag
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    JCB
    2006
    185views more  JCB 2006»
    Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
    14 years 10 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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    JSCIC
    2008
    71views more  JSCIC 2008»
    Numerical and Statistical Methods for the Coarse-Graining of Many-Particle Stochastic Systems
    14 years 10 months ago
    Numerical and Statistical Methods for the Coarse-Graining of Many-Particle Stochastic Systems
    Download  www.math.umass.edu
    In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice systems. We emphasize the numerical analysis of the schemes, focusing on error ...
    Markos A. Katsoulakis, Petr Plechác, Luc Re...
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