DocumentCode
818879
Title
Comments on "A theoretical analysis of Monte Carlo algorithms for the simulation of Gibbs random field images" [with reply]
Author
Neal, Radford M. ; Goutsias, John
Author_Institution
Dept. of Comput. Sci., Toronto Univ., Ont., Canada
Volume
39
Issue
1
fYear
1993
Firstpage
310
Lastpage
311
Abstract
The commenter contends that, contrary to the conclusions of the above-titled paper by J.K. Goutsias (see ibid., vol.37, no.6, p.1618-28, Nov. 1991), the relative entropy of the initial distribution for a Monte Carlo simulation is not monotonically related to the degree of convergence after some given number of steps, and optimal single-step convergence is not achieved by the Gibbs sampler with systematic site ordering. In his reply, Goutsias explains the intent of his work, but expresses agreement with many of the comments. He provides a corrected statement of Theorem 3.<>
Keywords
Monte Carlo methods; convergence; image processing; Gibbs random field images; Monte Carlo simulation; convergence; relative entropy; Algorithm design and analysis; Analytical models; Convergence; Entropy; Equations; Image analysis; Image converters; Image processing; Monte Carlo methods; Sampling methods;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.179381
Filename
179381
Link To Document