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Bibliografie

Conference Paper (Czech conference)

Bayesian vector auto-regression model with Laplace errors applied to financial market data

Šindelář Jan

: Proceedings of Mathematical Methods in Economics 2010, p. 602-608 , Eds: Houda Michal, Friebelová Jana

: Mathematical Methods in Economics 2010, (České Budějovice, CZ, 08.09.2010-10.09.2010)

: CEZ:AV0Z10750506

: 1M0572, GA MŠk, GA102/08/0567, GA ČR

: auto-regression, robust, parameter estimation

: http://library.utia.cas.cz/separaty/2010/AS/sindelar-bayesian vector auto-regression model with laplace errors applied to financial market data.pdf

(eng): The article presents alternative version of Bayesian vector auto-regression model with Laplace distributed innovations. Bayesian estimation in such model is more computationally demanding than estimation in a model with normally distributed innovations, but because of the heavier tails of Laplace distribution, it is more robust. In the article I try to present the way of proceeding with the estimation, obtaining a full posterior distribution of the parameters as a result. At the end an efficient algorithm is sketched, but this part of the research is still unfinished.

: BB

07.01.2019 - 08:39