Summary
Some estimators of maximum likelihood type are constructed for estimating functionals of one-dimensional Gibbs states. We also show that those estimators are strongly consistent, asymptotically normal and asymptotically efficient.
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Ji, C. Estimating functionals of one-dimensional Gibbs states. Probab. Th. Rel. Fields 82, 155–175 (1989). https://doi.org/10.1007/BF00354757
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DOI: https://doi.org/10.1007/BF00354757
Keywords
- Stochastic Process
- Probability Theory
- Mathematical Biology
- Gibbs State
- Likelihood Type