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 language | English |
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Pages (from-to) | 15-24 |
Number of pages | 9 |
Journal | Computational Statistics and Data Analysis |
Volume | 56 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2012 |
Keywords
- Maximum entropy method
- Partial autocorrelation
- Periodic LevinsonDurbin algorithm
- Periodically correlated processes