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    CSDA
    2007
    100views more  CSDA 2007»
    Estimation of fractional integration in the presence of data noise
    13 years 9 months ago
    Estimation of fractional integration in the presence of data noise
    Download  mit.econ.au.dk
    The paper presents a comparative study on the performance of commonly used estimators of the fractional order of integration when data is contaminated by noise. In particular, meas...
    Niels Haldrup, Morten Ørregaard Nielsen
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    CSDA
    2007
    85views more  CSDA 2007»
    Markov models for digraph panel data: Monte Carlo-based derivative estimation
    13 years 9 months ago
    Markov models for digraph panel data: Monte Carlo-based derivative estimation
    Download  stat.gamma.rug.nl
    A parametric, continuous-time Markov model for digraph panel data is considered. The parameter is estimated by the method of moments. A convenient method for estimating the varian...
    Michael Schweinberger, Tom A. B. Snijders
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    CSDA
    2007
    134views more  CSDA 2007»
    Variational approximations in Bayesian model selection for finite mixture distributions
    13 years 9 months ago
    Variational approximations in Bayesian model selection for finite mixture distributions
    Download  www.gla.ac.uk
    Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
    Clare A. McGrory, D. M. Titterington
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    CSDA
    2007
    108views more  CSDA 2007»
    Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
    13 years 9 months ago
    Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
    Download  bmsr.usc.edu
    Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
    Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
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    CSDA
    2007
    148views more  CSDA 2007»
    Classifying densities using functional regression trees: Applications in oceanology
    13 years 9 months ago
    Classifying densities using functional regression trees: Applications in oceanology
    Download  www.com.univ-mrs.fr
    The problem of building a regression tree is considered when the response variable is a probability density function. Splitting criteria which are well adapted to measure the diss...
    David Nerini, Badih Ghattas
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