The Deviance Information Criterion in Comparison of Normal Mixing Models
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- Elisa Luciano & Wim Schoutens, 2006.
"A multivariate jump-driven financial asset model,"
Quantitative Finance, Taylor & Francis Journals, vol. 6(5), pages 385-402.
- Elisa Luciano & Wim Schoutens, 2005. "A Multivariate Jump-Driven Financial Asset Model," ICER Working Papers - Applied Mathematics Series 6-2005, ICER - International Centre for Economic Research.
- Elisa Luciano & Wim Schoutens, 2006. "A Multivariate Jump-Driven Financial Asset Model," Carlo Alberto Notebooks 29, Collegio Carlo Alberto.
- Thomas Fung & Eugene Seneta, 2010. "Modelling and Estimation for Bivariate Financial Returns," International Statistical Review, International Statistical Institute, vol. 78(1), pages 117-133, April.
- David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
- Branco, Márcia D. & Dey, Dipak K., 2001. "A General Class of Multivariate Skew-Elliptical Distributions," Journal of Multivariate Analysis, Elsevier, vol. 79(1), pages 99-113, October.
- Richard Finlay & Eugene Seneta, 2008. "Stationary‐Increment Variance‐Gamma and t Models: Simulation and Parameter Estimation," International Statistical Review, International Statistical Institute, vol. 76(2), pages 167-186, August.
- Yong Li & Zeng Tao & Jun Yu, "undated".
"Robust Deviance Information Criterion for Latent Variable Models,"
Working Papers
CoFie-04-2012, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Yong Li & Tao Zeng & Jun Yu, 2012. "Robust Deviance Information Criterion for Latent Variable Models," Working Papers 30-2012, Singapore Management University, School of Economics.
- Claeskens,Gerda & Hjort,Nils Lid, 2008. "Model Selection and Model Averaging," Cambridge Books, Cambridge University Press, number 9780521852258, November.
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