Pages that link to "Item:Q1662047"
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The following pages link to Vine copula based likelihood estimation of dependence patterns in multivariate event time data (Q1662047):
Displaying 11 items.
- Factor copula models for right-censored clustered survival data (Q825281) (← links)
- Analyzing dependent data with vine copulas. A practical guide with R (Q1738351) (← links)
- Prediction based on conditional distributions of vine copulas (Q2002717) (← links)
- Analysis of ordinal and continuous longitudinal responses using pair copula construction (Q2168557) (← links)
- Spatial composite likelihood inference using local C-vines (Q2350040) (← links)
- Copula based flexible modeling of associations between clustered event times (Q2398456) (← links)
- Predicting times to event based on vine copula models (Q2674484) (← links)
- Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme (Q2674493) (← links)
- A vine copula approach for regression analysis of bivariate current status data with informative censoring (Q5221304) (← links)
- Enhanced pricing and management of bundled insurance risks with dependence-aware prediction using pair copula construction (Q6118721) (← links)
- Multivariate joint probability function of earthquake ground motion prediction equations based on vine copula approach (Q6534762) (← links)
