Approximating non-Gaussian Bayesian networks using minimum information vine model with applications in financial modelling

Mathematics

• Financial Modeling 100%
• Bayesian Networks 83%
• Copula 69%
• Heavy Tails 34%
• Financial Data 24%
• Conditional Independence 23%
• Model 21%
• Modeling 18%
• Prediction 15%
• Flexible Structure 13%
• Tail Dependence 12%
• Copula Models 12%
• Multiple Models 12%
• Graphical Models 11%
• Conditional Distribution 9%
• Decision Making 9%
• Scenarios 8%
• Probability Distribution 7%
• Restriction 6%
• Computing 5%
• Alternatives 5%
• Standards 5%

Engineering & Materials Science

• Bayesian networks 67%
• Flexible structures 9%
• Model structures 8%
• Probability distributions 7%
• Decision making 6%