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stat.ME2026
Calibrating simplified vine copulas with a noise contrastive estimation approach
Michael Denis Kraus, David Huk, Claudia Czado
Vine copulas provide a flexible framework for modeling complex multivariate dependence structures using only bivariate building blocks. Their practical success relies heavily on th…
stat.ML2026
Probabilistic Multivariate Time Series Forecasting with Diffusion Copulas
David Huk, Dongshan Wang, Miha Bresar
Accurately assessing financial risk requires capturing both individual asset volatility and the complex, asymmetric dependence structures that emerge during extreme market events.…