Maximum Entropy Estimation of Transition Probabilities of Reversible Markov Chains
نویسنده
چکیده
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.
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ورودعنوان ژورنال:
- Entropy
دوره 11 شماره
صفحات -
تاریخ انتشار 2009