Bayesian sigmoid shrinkage with improper variance priors and an application to wavelet denoising

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12 Citations (Scopus)

Abstract

The normal Bayesian linear model is extended by assigning a flat prior to the delta th power of the variance components of the regression coefficients (0 <delta
Original languageEnglish
Pages (from-to)1232-1242
Number of pages11
JournalComputational Statistics & Data Analysis
Volume51
Issue number2
DOIs
Publication statusPublished - 2006

Keywords

  • entire genome
  • regression
  • selection
  • prediction
  • markers
  • model

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