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    CSDA
    2007
    106views more  CSDA 2007»
    Parsimonious additive models
    13 years 9 months ago
    Parsimonious additive models
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    A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
    Marta Avalos, Yves Grandvalet, Christophe Ambroise
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    CSDA
    2007
    123views more  CSDA 2007»
    Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
    13 years 9 months ago
    Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table
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    In two-way contingency tables analysis, a popular class of models for describing the structure of the association between the two categorical variables are the so-called “associ...
    G. Iliopoulos, Maria Kateri, Ioannis Ntzoufras
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    CSDA
    2007
    124views more  CSDA 2007»
    Wavelet based time-varying vector autoregressive modelling
    13 years 9 months ago
    Wavelet based time-varying vector autoregressive modelling
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    Vector autoregressive (VAR) modelling is one of the most popular approaches in multivariate time series analysis. The parameters interpretation is simple, and provide an intuitive...
    João Ricardo Sato, Pedro Alberto Morettin, ...
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    CSDA
    2007
    151views more  CSDA 2007»
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
    13 years 9 months ago
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
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    An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
    Marco Alfò, Alessio Farcomeni, Luca Tardell...
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    CSDA
    2007
    88views more  CSDA 2007»
    A study of partial F tests for multiple linear regression models
    13 years 9 months ago
    A study of partial F tests for multiple linear regression models
    Download  eprints.soton.ac.uk
    Partial F tests play a central role in model selections in multiple linear regression models. This paper studies the partial F tests from the view point of simultaneous confidence...
    Mortaza Jamshidian, Robert I. Jennrich, Wei Liu
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