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https://doi.org/10.1007/978-1-4684-2550-5ers of the model. This posterior can be subsequendy used to probabilistically infer the range of parameters (through Bayesian interval estimates, in which we make predictive statements such as “the parameter . is in the interval with probability 0.95”), compute the parameters’ mean or moCHANT 发表于 2025-3-23 05:37:51
Perception of Landscape and Land Use,ead of approximate inference relies on the ability to simulate from the posterior in order to draw structures or parameters from the underlying distribution represented by the posterior. The samples drawn from this posterior can be averaged to approximate expectations (or normalization constants). I