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https://doi.org/10.1016/j.spl.2013.06.033
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Cite Journal: Statistics and Probability Letters |  Publication Date: Jul 4, 2013 |
 Citations: 1 |
Necessary and sufficient conditions are developed for the existence of the maximum likelihood estimate (MLE) for a recognition-memory model. The propriety of posteriors is shown for a class of bounded priors. Under a constant prior, an easy-to-implement Gibbs sampler is developed and illustrated via a real data set.
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