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Jointness in Bayesian variable selection with applications to growth regression

✍ Scribed by Eduardo Ley; Mark F.J. Steel

Book ID: 113722341
Publisher: Elsevier Science
Year: 2007
Tongue: English
Weight: 422 KB
Volume: 29
Category: Article
ISSN: 0164-0704
DOI: 10.1016/j.jmacro.2006.12.002

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## Abstract We have considered a Bayesian approach for the nonlinear regression model by replacing the normal distribution on the error term by some skewed distributions, which account for both skewness and heavy tails or skewness alone. The type of data considered in this paper concerns repeated m