Nonlinear Wavelet Shrinkage with Bayes Rules and Bayes Factors Academic Article uri icon


  • [Wavelet shrinkage, the method proposed by the seminal work of Donoho and Johnstone is a disarmingly simple and efficient way of denoising data. Shrinking wavelet coefficients was proposed from several optimality criteria. In this article a wavelet shrinkage by coherent Bayesian inference in the wavelet domain is proposed. The methods are tested on standard Donoho-Johnstone test functions.]

published proceedings

  • Journal of the American Statistical Association

author list (cited authors)

  • Vidakovic, B.

citation count

  • 167

complete list of authors

  • Vidakovic, Brani

publication date

  • March 1998