A periodic Levinson-Durbin algorithm for entropy maximization

Georgi N. Boshnakov, Sophie Lambert-Lacroix

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A recursive algorithm is presented for the computation of the first-order and second-order derivatives of the entropy of a periodic autoregressive process with respect to the autocovariances. It is an extension of the periodic LevinsonDurbin algorithm. The algorithm has been developed for use at one of the steps of an entropy maximization method developed by the authors. Numerical examples of entropy maximization by that method are given. An implementation of the algorithm is available as an R package. © 2011 Elsevier B.V. All rights reserved.
    Original languageEnglish
    Pages (from-to)15-24
    Number of pages9
    JournalComputational Statistics and Data Analysis
    Volume56
    Issue number1
    DOIs
    Publication statusPublished - 1 Jan 2012

    Keywords

    • Maximum entropy method
    • Partial autocorrelation
    • Periodic LevinsonDurbin algorithm
    • Periodically correlated processes

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