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  • Search: subject:"Generalized inverse Gaussian distribution"
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Year of publication
Subject
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EM Algorithm 2 Exponential-Generalized Inverse Gaussian Distribution 2 dispersion and shape parameters 2 generalized inverse Gaussian distribution 2 heavy-tailed losses 2 non-life insurance 2 regression models for the mean 2 Algorithm 1 Algorithmus 1 Asymmetric Laplace distribution 1 Autoregressive conditional heteroskedasticity 1 Bayesian quantile regression 1 Estimation theory 1 Gibbs sampler 1 Markov chain Monte Carlo 1 Regression analysis 1 Regressionsanalyse 1 Schätztheorie 1 Statistical distribution 1 Statistische Verteilung 1 Tobit quantile regression 1 bridge sampling 1 double exponential prior 1 generalized hyperbolic distribution 1 heavy-tailed skewed distributions 1
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Online availability
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Free 4 CC license 1
Type of publication
All
Article 2 Book / Working Paper 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 2
Author
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Jeong, Himchan 2 Tzougas, George 2 Deschamps, Philippe J. 1 Kobayashi, Genya 1 Kozumi, Hideo 1
Institution
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Departement für Quantitative Wirtschaftsforschung, Faculté des sciences économiques et sociales - Wirtschafts- und Sozialwissenschaftliche Fakultät 1 Graduate School of Business Administration, Kobe University 1
Published in...
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DQE Working Papers 1 Discussion Papers / Graduate School of Business Administration, Kobe University 1 Risks 1 Risks : open access journal 1
Source
All
RePEc 2 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 4 of 4
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An expectation-maximization algorithm for the exponential-generalized inverse Gaussian regression model with varying dispersion and shape for modelling the aggregate claim amount
Tzougas, George; Jeong, Himchan - In: Risks 9 (2021) 1, pp. 1-17
This article presents the Exponential-Generalized Inverse Gaussian regression model with varying dispersion and shape. The EGIG is a general distribution family which, under the adopted modelling framework, can provide the appropriate level of flexibility to fit moderate costs with high...
Persistent link: https://www.econbiz.de/10013200689
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An expectation-maximization algorithm for the exponential-generalized inverse Gaussian regression model with varying dispersion and shape for modelling the aggregate claim amount
Tzougas, George; Jeong, Himchan - In: Risks : open access journal 9 (2021) 1/19, pp. 1-17
This article presents the Exponential-Generalized Inverse Gaussian regression model with varying dispersion and shape. The EGIG is a general distribution family which, under the adopted modelling framework, can provide the appropriate level of flexibility to fit moderate costs with high...
Persistent link: https://www.econbiz.de/10012423047
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Bayesian Estimation of Generalized Hyperbolic Skewed Student GARCH Models
Deschamps, Philippe J. - Departement für Quantitative Wirtschaftsforschung, … - 2011
Efficient posterior simulators for two GARCH models with generalized hyperbolic disturbances are presented. The first model, GHt-GARCH, is a threshold GARCH with a skewed and heavy-tailed error distribution; in this model, the latent variables that account for skewness and heavy tails are...
Persistent link: https://www.econbiz.de/10009367387
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Cover Image
Gibbs Sampling Methods for Bayesian Quantile Regression
Kozumi, Hideo; Kobayashi, Genya - Graduate School of Business Administration, Kobe University - 2009
accomplished by sampling from either normal or generalized inverse Gaussian distribution. We also discuss some possible extensions …
Persistent link: https://www.econbiz.de/10011114763
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