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This paper is concerned with maximum likelihood based inference in random effects models with serial correlation. Allowing for individual effects we introduce serial correlation of general form in the time effects as well as the idiosyncratic errors. A straightforward maximum likelihood...
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direct sampling are outlined and a template for including model uncertainty is described. The needed tools, relying on … various Markov chain Monte Carlo techniques, are developed and direct sampling, with and without effect selection, is …
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