The Bayesian estimation model follows a different way of thinking.
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The R-code of the Bayesian estimation model has been provided elsewhere.
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Later on, Hui provides the Bayesian estimation model for continuously changing scales:
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The brain white matter atlas generated based on ODF is constructed via Bayesian estimation.
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Bayesian filters ( often called Recursive Bayesian estimation ) are generic probabilistic models for time evolving processes.
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This result is important because it further justifies using a mean as a representative of a random set, particularly in Bayesian estimation.
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Villani and Larsson propose to use either maximum likelihood method or bayesian estimation and provide some analytical results for either univariate and multivariate case.
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Models providing explanations to the observed scaling pattern of occupancy include the fractal model, the cross-scale model and the Bayesian estimation model.
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For the Bayesian estimation model, Hui et al . provide the following formula to describe the SPO and join-count statistics of spatial autocorrelation:
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Similarly, recursive Bayesian estimation calculates estimates of an unknown probability density function ( PDF ) recursively over time using incoming measurements and a mathematical process model.
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