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    CSDA
    2006
    65views more  CSDA 2006»
    Dimension reduction in functional regression with applications
    13 years 11 months ago
    Dimension reduction in functional regression with applications
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    U. Amato, A. Antoniadis, Italia De Feis
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    CSDA
    2006
    83views more  CSDA 2006»
    Linear grouping using orthogonal regression
    13 years 11 months ago
    Linear grouping using orthogonal regression
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    A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
    Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, R...
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    CSDA
    2006
    82views more  CSDA 2006»
    2nd Special issue on matrix computations and statistics
    13 years 11 months ago
    2nd Special issue on matrix computations and statistics
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    Jesse L. Barlow, Haesun Park, Patrick J. F. Groene...
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    CSDA
    2006
    155views more  CSDA 2006»
    Modelling the mean of a doubly stochastic Poisson process by functional data analysis
    13 years 11 months ago
    Modelling the mean of a doubly stochastic Poisson process by functional data analysis
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    A new procedure for estimating the mean process of a doubly stochastic Poisson process is introduced. The proposed estimation is based on monotone piecewise cubic interpolation of...
    P. R. Bouzas, Mariano J. Valderrama, Ana M. Aguile...
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    CSDA
    2006
    62views more  CSDA 2006»
    Wavelet-based bootstrapping of spatial patterns on a finite lattice
    13 years 11 months ago
    Wavelet-based bootstrapping of spatial patterns on a finite lattice
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    Brandon J. Whitcher
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    CSDA
    2006
    91views more  CSDA 2006»
    Model-based cluster and discriminant analysis with the MIXMOD software
    13 years 11 months ago
    Model-based cluster and discriminant analysis with the MIXMOD software
    Download  hal.archives-ouvertes.fr
    The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
    Christophe Biernacki, Gilles Celeux, Gérard...
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    CSDA
    2006
    149views more  CSDA 2006»
    Bayesian sigmoid shrinkage with improper variance priors and an application to wavelet denoising
    13 years 11 months ago
    Bayesian sigmoid shrinkage with improper variance priors and an application to wavelet denoising
    Download  www.biometris.wur.nl
    The normal Bayesian linear model is extended by assigning a flat prior to the th power of the variance components of the regression coefficients (0<
    Cajo J. F. ter Braak
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    CSDA
    2006
    60views more  CSDA 2006»
    Numerical integration in logistic-normal models
    13 years 11 months ago
    Numerical integration in logistic-normal models
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    Marginal maximum likelihood estimation is commonly used to estimate logistic-normal models. In this approach, the contribution of random effects to the likelihood is represented a...
    Jorge González, Francis Tuerlinckx, Paul De...
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    CSDA
    2006
    81views more  CSDA 2006»
    Flexible temporal expression profile modelling using the Gaussian process
    13 years 11 months ago
    Flexible temporal expression profile modelling using the Gaussian process
    Download  www2.isye.gatech.edu
    Time course gene expression experiments have proved valuable in a variety of biological studies [e.g., Chuang, Y., Chen, Y., Gadisetti, V., et al., 2002. Gene expression after tre...
    Ming Yuan
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    CSDA
    2006
    77views more  CSDA 2006»
    Hierarchical Bayesian modelling of spatial age-dependent mortality
    13 years 11 months ago
    Hierarchical Bayesian modelling of spatial age-dependent mortality
    Download  www.stat.sc.edu
    N. Miklós Arató, Ian L. Dryden, Char...
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