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    CSDA
    2007
    172views more  CSDA 2007»
    AMCMC: An R interface for adaptive MCMC
    13 years 11 months ago
    AMCMC: An R interface for adaptive MCMC
    Download  probability.ca
    We describe AMCMC, a software package for running adaptive MCMC algorithms on user-supplied density functions. AMCMC provides the user with an R interface, which in turn calls C pr...
    Jeffrey S. Rosenthal
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    CSDA
    2007
    88views more  CSDA 2007»
    A study of partial F tests for multiple linear regression models
    13 years 11 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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    CSDA
    2007
    82views more  CSDA 2007»
    Non-parametric log-concave mixtures
    13 years 11 months ago
    Non-parametric log-concave mixtures
    Download  igitur-archive.library.uu.nl
    Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are subpopulations. Instead of a parametric model, a penalize...
    Paul H. C. Eilers, M. W. Borgdorff
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    CSDA
    2007
    134views more  CSDA 2007»
    Variational approximations in Bayesian model selection for finite mixture distributions
    13 years 11 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
    85views more  CSDA 2007»
    A semi-parametric approach for mixture models: Application to local false discovery rate estimation
    13 years 11 months ago
    A semi-parametric approach for mixture models: Application to local false discovery rate estimation
    Download  www.mcp-conference.org
    Stéphane Robin, Avner Bar-Hen, Jean-Jacques...
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    CSDA
    2007
    151views more  CSDA 2007»
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
    13 years 11 months ago
    Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
    Download  afarcome.interfree.it
    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
    105views more  CSDA 2007»
    Calculation of simplicial depth estimators for polynomial regression with applications
    13 years 11 months ago
    Calculation of simplicial depth estimators for polynomial regression with applications
    Download  www.defm.fmph.uniba.sk
    A fast algorithm for calculating the simplicial depth of a single parameter vector of a polynomial regression model is derived. Additionally, an algorithm for calculating the para...
    R. Wellmann, S. Katina, Ch. H. Müller
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    CSDA
    2007
    100views more  CSDA 2007»
    Convergence of random k-nearest-neighbour imputation
    13 years 11 months ago
    Convergence of random k-nearest-neighbour imputation
    Download  sci2s.ugr.es
    Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...
    Fredrik A. Dahl
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    CSDA
    2007
    90views more  CSDA 2007»
    Robust forecasting of mortality and fertility rates: A functional data approach
    13 years 11 months ago
    Robust forecasting of mortality and fertility rates: A functional data approach
    Download  www.robjhyndman.com
    Rob J. Hyndman, Md. Shahid Ullah
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    CSDA
    2007
    124views more  CSDA 2007»
    Wavelet based time-varying vector autoregressive modelling
    13 years 11 months ago
    Wavelet based time-varying vector autoregressive modelling
    Download  www.ime.usp.br
    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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