Pages that link to "Item:Q273648"

The following pages link to Sequential Bayesian model selection of regular vine copulas (Q273648):

Displaying 30 items.

• Selecting and estimating regular vine copulae and application to financial returns (Q80568) (← links)
• Detecting and modeling critical dependence structures between random inputs of computer models (Q828054) (← links)
• Bayesian copula selection (Q1010423) (← links)
• Parsimonious parameterization of correlation matrices using truncated vines and factor analysis (Q1623595) (← links)
• Specification of informative prior distributions for multinomial models using vine copulas (Q1631575) (← links)
• Bayesian model selection of regular vine copulas (Q1631599) (← links)
• Model selection for discrete regular vine copulas (Q1658513) (← links)
• Multivariate dependence analysis via tree copula models: an application to one-year forward energy contracts (Q1749519) (← links)
• Bayesian model choice of grouped \(t\)-copula (Q1930463) (← links)
• Sequential truncation of \(R\)-vine copula mixture model for high-dimensional datasets (Q1980359) (← links)
• Common sampling orders of regular vines with application to model selection (Q2008096) (← links)
• A mixture of regular vines for multiple dependencies (Q2039146) (← links)
• Multivariate distributions of correlated binary variables generated by pair-copulas (Q2040911) (← links)
• Counterdiagonal/nonpositive tail dependence in vine copula constructions: application to portfolio management (Q2059101) (← links)
• On the quantification and efficient propagation of imprecise probabilities with copula dependence (Q2191243) (← links)
• Bayesian sequential design for copula models (Q2195747) (← links)
• A Bayesian hierarchical copula model (Q2219218) (← links)
• Pair-copula models for analyzing family data (Q2223156) (← links)
• Selection of sparse vine copulas in high dimensions with the Lasso (Q2329765) (← links)
• Dependence modelling in ultra high dimensions with vine copulas and the graphical Lasso (Q2416782) (← links)
• Selection of Vine Copulas (Q2849522) (← links)
• Bayesian model selection for D-vine pair-copula constructions (Q3087589) (← links)
• Truncated regular vines in high dimensions with application to financial data (Q3225771) (← links)
• Representing Sparse Gaussian DAGs as Sparse R-Vines Allowing for Non-Gaussian Dependence (Q3391116) (← links)
• Pair Copula Constructions for Insurance Experience Rating (Q4690933) (← links)
• (Q5011443) (← links)
• Efficient Bayesian Inference for Nonlinear State Space Models With Univariate Autoregressive State Equation (Q5066000) (← links)
• Portfolio selection via D-vine copula-quantile regression method (Q5196256) (← links)
• A goodness-of-fit test for regular vine copula models (Q5860906) (← links)
• Agent-based modeling in medical research, virtual baseline generator and change in patients' profile issue (Q6636233) (← links)