Conclusion
The basis of Bayesian statistics
Article REF: AF605 V1
Conclusion
The basis of Bayesian statistics

Authors : Jean-Michel MARIN, Christian P. ROBERT

Publication date: October 10, 2009 | Lire en français

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4. Conclusion

We refer you to for much more detailed examples in the context of generalized linear models, capture-recapture models, mixture models, time series... In each case, there is a default a priori model and an algorithmic resolution that provides a Bayesian reference solution for the problem under consideration. Of course, other a priori laws can be considered, and the reference model is then used to evaluate the impact of this a priori choice. We simply wanted to convey the idea that it is possible to carry...

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