The multivariate split nomal distribution extends the usual multivariate normal distribution by a set of parameters which allows for skewness in the form of contraction/dilation along a subset of the prinicpal axis. The paper derives some properties for this distribution, including its moment generating function, multivariate skewness and kurtosis. Maximum likelihood estimation is discussed and a complete Bayesian analysis of the multivariate split normal distribution is developed.
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Paper provided by Sveriges Riksbank (Central Bank of Sweden) in its series Working Paper Series with number
175.
Length: 25 pages Date of creation: 01 Dec 2004 Date of revision: Publication status: Forthcoming in Communications in Statistics – Theory and Methods, 2006. Handle: RePEc:hhs:rbnkwp:0175
Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Econometric and Statistical Methods; Specific Distributions
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Bauwens, Luc & Polasek, Wolfgang & van Dijk, Herman K., 1996.
"Editor's introduction,"
Journal of Econometrics,
Elsevier, vol. 75(1), pages 1-5, November.
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