Dynamics Model about Bowhead Whale, Balaena mysticetus, Replacement Yield
We consider problem of inference about a quantity of different sources of information by a population dynamics modeL Our approach of transllatJng all the available into a joint pre-model distribution on all the model to model to obtain the joint Marginalizing this yields inference, conditional on th...
| Main Authors: | , , |
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| Format: | Text |
| Language: | English |
| Subjects: | |
| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.790 http://www.stat.washington.edu/research/reports/1992/tr232.pdf |
| Summary: | We consider problem of inference about a quantity of different sources of information by a population dynamics modeL Our approach of transllatJng all the available into a joint pre-model distribution on all the model to model to obtain the joint Marginalizing this yields inference, conditional on the model, about quantities of interest which can be functions of model inputs, model outputs, or both. Samples from the post-model distribution are obtained by importance sampling and Rubin's SIR algorithm. The framework includes as a special case the situation where the pre-model information about the outputs consists of measurements with error; this reduces to standard Bayesian inference. The results are in the form of a sample from the post-model distribution and so can be explored using the full range of EDA techniques. This leads to simple model checking |
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