The Probability Measure Transformation of a Fat-Tailed Distribution Using Dynamic Linear Model
* ** Eiji Minemura Tadashi Imaizumi
The measure-transformation method to convert a long- or heavy-tailed distribution into the easier-to-handle standard normal distribution is much needed not only in financial engineering but also in the wider fields of economics, business administration, and systems engineering. In this paper, the author proposes a new method of probability measure transformation, while utilizing dynamic linear models.
Keywords: hierarchical modeling approaches, dynamic linear model, probability measure transformation
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[14] Minemura, E. (2006). An Interest-Rate Model Analysis Based on Data Augmentation Bayesian Forecasting, Journal of Applied Statistics, 33 1085-1104.
[15] Øksendal, B. (1998). Stochastic Differential Equations; An Introduction with Applications,5
thedn, Berlin: Springer-Verlag.
[16] West, M. & Harrison, J. (1997). Bayesian Forecasting and Dynamic Models, 2
ndedn, New York: Springer-Verlag.
[17] (1987). , .
[18] (2012). , .
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