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Gaussian Markov random fields (GMRFs) are an important example of MRFs with many applications, particularly because GMRFs are known to provide effective approximations to any MRF. Despite their relative computational simplicity, inference in GMRFs using maximum likelihood (ML) is not always...
The human gait is uniquely characterized by its kinematics and kinetics. These characteristics are routinely used to analyse and evaluate both the normal and pathological gait. A lot of clinical studies, dealing with quantitative human gait analysis and published all around the world, use the...
In the present paper, the shrinkage estimators have been developed based on the Upper record values under the Bayesian Minimax Risk Criteria. The properties of the proposed shrinkage estimators have been studied in terms of the relative efficiency with respect to improved estimator.
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