منابع مشابه
Generalized Double Pareto Shrinkage.
We propose a generalized double Pareto prior for Bayesian shrinkage estimation and inferences in linear models. The prior can be obtained via a scale mixture of Laplace or normal distributions, forming a bridge between the Laplace and Normal-Jeffreys' priors. While it has a spike at zero like the Laplace density, it also has a Student's t-like tail behavior. Bayesian computation is straightforw...
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In the literature of analyzing extremes, both generalized Pareto distribution and Pareto distribution are employed to infer the tail of a distribution with a known positive extreme value index. Similar studies exist for a known negative extreme value index. Intuitively, one should not employ the generalized Pareto distribution in case of knowing the sign of the extreme value index. In this pape...
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This vignette is designed to give a short overview about Pareto Distributions and Generalized Pareto Distributions (GPD). We will work with the SPC.we data of our quantmod vignette. Therefore we have to reproduce the SPC.we data in exactly the same way as described the quantmod vignette. In financial data analysis stock indices as the S&P 500 index are typically analyzed by using the returns of...
متن کاملExploring Heavy Tails Pareto and Generalized Pareto Distributions
This vignette is designed to give a short overview about Pareto Distributions and Generalized Pareto Distributions (GPD). We will work with the SPC.we data of our quantmod vignette. Therefore we have to reproduce the SPC.we data in exactly the same way as described the quantmod vignette. In financial data analysis stock indices as the S&P 500 index are typically analyzed by using the returns of...
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ژورنال
عنوان ژورنال: Statistica Sinica
سال: 2013
ISSN: 1017-0405
DOI: 10.5705/ss.2011.048