Pages that link to "Item:Q4335636"
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The following pages link to Inferences on the Association Parameter in Copula Models for Bivariate Survival Data (Q4335636):
Displaying 15 items.
- Analysis of multivariate survival data under semiparametric copula models (Q6554758) (← links)
- Sparse M-estimators in semi-parametric copula models (Q6565332) (← links)
- Robust pair-copula based forecasts of realized volatility (Q6570566) (← links)
- A semi-stationary copula model approach for bivariate survival data with interval sampling (Q6593506) (← links)
- Spearman-like correlation measure adjusting for covariates in bivariate survival data (Q6595085) (← links)
- Nonparametric estimation of the copula function with bivariate twice censored data (Q6596785) (← links)
- Quantifying the association between progression-free survival and overall survival in oncology trials using Kendall's \(\tau\) (Q6625675) (← links)
- Developing prediction models to estimate the risk of two survival outcomes both occurring: a comparison of techniques (Q6626839) (← links)
- A general frailty model to accommodate individual heterogeneity in the acquisition of multiple infections: an application to bivariate current status data (Q6627373) (← links)
- Measuring Association among censored antibody titer data (Q6628151) (← links)
- Piecewise cause-specific association analyses of multivariate untied or tied competing risks data (Q6632705) (← links)
- Information matrix equivalence in the presence of censoring: a goodness-of-fit test for semiparametric copula models with multivariate survival data (Q6640104) (← links)
- Generalized simulated method-of-moments estimators for multivariate copulas (Q6640109) (← links)
- Nonparametric estimator of the tail dependence coefficient: balancing bias and variance (Q6640112) (← links)
- Bayesian Inference on High-Dimensional Multivariate Binary Responses (Q6651360) (← links)