DEPENDENCE MODELING:Vine Copula Handbook
Other Persons: | Kurowicka, Dorota (contributor) ; Joe, Harry (contributor) |
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Institutions: | World Scientific Publishing Co. Pte. Ltd. |
Subject: | Dependence Modeling | Joint Distributions | Copulae | Vines | Graphical Models | PCC |
Extent: | text/html |
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Series: | |
Type of publication: | Book / Working Paper |
Classification: | G32 - Financing Policy; Capital and Ownership Structure ; P43 - Public Economics; Financial Economics ; c58 ; C11 - Bayesian Analysis ; C02 - Mathematical Methods |
Source: |
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Bayesian inference for latent factor copulas and application to financial risk forecasting
Schamberger, Benedikt, (2017)
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Bayesian inference for latent factor copulas and application to financial risk forecasting
Schamberger, Benedikt, (2017)
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Knowledge Discovery Through Structure Learning in Sequential Gaussian Graphical Models
Qureshi, Faisal, (2019)
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Generating random correlation matrices based on vines and extended onion method
Lewandowski, Daniel, (2009)
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Conditionalization of copula-based models
Kurowicka, Dorota, (2012)
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Joint density of correlations in the correlation matrix with chordal sparsity patterns
Kurowicka, Dorota, (2014)
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