The following pages link to Bayesian copula selection (Q1010423):
Displaying 41 items.
- Identification of marginal and joint {cdf}s using Bayesian method for {RBDO} (Q381353) (← links)
- Comparison study between {MCMC}-based and weight-based Bayesian methods for identification of joint distribution (Q381535) (← links)
- Reliability-based design optimization with confidence level under input model uncertainty due to limited test data (Q381577) (← links)
- Comparison study between probabilistic and possibilistic methods for problems under a lack of correlated input statistical information (Q381925) (← links)
- In mixed company: Bayesian inference for bivariate conditional copula models with discrete and continuous outcomes (Q443781) (← links)
- Portfolio value-at-risk estimation in energy futures markets with time-varying copula-GARCH model (Q475247) (← links)
- Copula directed acyclic graphs (Q517376) (← links)
- Computational uncertainty analysis in multiresolution materials via stochastic constitutive theory (Q643960) (← links)
- Archimedean copula estimation and model selection via \(l_1\)-norm symmetric distribution (Q659243) (← links)
- Derivatives and Fisher information of bivariate copulas (Q744776) (← links)
- Modelling dependence (Q939341) (← links)
- Efficient estimation for the proportional hazards model with bivariate current status data (Q953242) (← links)
- Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market (Q1010475) (← links)
- Copula model evaluation based on parametric bootstrap (Q1023675) (← links)
- Bayesian model selection of regular vine copulas (Q1631599) (← links)
- Bayesian bivariate survival analysis using the power variance function copula (Q1642151) (← links)
- Time-independent reliability analysis of bridge system based on mixed copula models (Q1792891) (← links)
- Unsupervised data classification using pairwise Markov chains with automatic copulas selection (Q1800063) (← links)
- Estimating discrete Markov models from various incomplete data schemes (Q1927036) (← links)
- Modelling multi-output stochastic frontiers using copulas (Q1927154) (← links)
- Bayesian model choice of grouped \(t\)-copula (Q1930463) (← links)
- Generalized predictive information criteria for the analysis of feature events (Q1951133) (← links)
- Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients (Q2095777) (← links)
- Bayesian sequential design for copula models (Q2195747) (← links)
- Crisis and risk dependencies (Q2253371) (← links)
- Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas (Q2259718) (← links)
- A copula-based perturbation stochastic method for fiber-reinforced composite structures with correlations (Q2309920) (← links)
- Time-varying joint distribution through copulas (Q2445695) (← links)
- Three-stage semi-parametric estimation of \(t\)-copulas: asymptotics, finite-sample properties and computational aspects (Q2445710) (← links)
- Copula parameter estimation by maximum-likelihood and minimum-distance estimators: a simulation study (Q2513330) (← links)
- Bayesian model selection for D-vine pair-copula constructions (Q3087589) (← links)
- The bivariate <i>K</i>-finite normal mixture ‘blanket’ copula (Q3390622) (← links)
- Degradation-Based Reliability Modeling of Complex Systems in Dynamic Environments (Q4559445) (← links)
- SELECTING BIVARIATE COPULA MODELS USING IMAGE RECOGNITION (Q5045332) (← links)
- Reliability-based design optimization for vehicle body crashworthiness based on copula functions (Q5059411) (← links)
- Copula models for one-shot device testing data with correlated failure modes (Q5078871) (← links)
- (Q5101800) (← links)
- Method to Select Copula Functions (Q5114135) (← links)
- Bayesian nonparametric estimation of a copula (Q5220707) (← links)
- Bayesian ridge regression for survival data based on a vine copula-based prior (Q6120619) (← links)
- Mixture copulas with discrete margins and their application to imbalanced data (Q6204708) (← links)
