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Maximum Entropy Estimation of Transition Probabilities of Reversible Markov Chains.
- Source :
- Entropy; Dec2009, Vol. 11 Issue 4, p867-887, 21p, 1 Graph
- Publication Year :
- 2009
-
Abstract
- In this paper, we develop a general theory for the estimation of the transition probabilities of reversible Markov chains using the maximum entropy principle. A broad range of physical models can be studied within this approach. We use one-dimensional classical spin systems to illustrate the theoretical ideas. The examples studied in this paper are: the Ising model, the Potts model and the Blume-Emery-Griffiths model. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10994300
- Volume :
- 11
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Entropy
- Publication Type :
- Academic Journal
- Accession number :
- 47332236
- Full Text :
- https://doi.org/10.3390/e11040867