The following pages link to CDVine (Q20171):
Displaying 50 items.
- On non-central squared copulas (Q130005) (← links)
- Clustering dependent observations with copula functions (Q152288) (← links)
- Flexible pair-copula estimation in D-vines using bivariate penalized splines (Q261005) (← links)
- Sequential Bayesian model selection of regular vine copulas (Q273648) (← links)
- Default probability estimation via pair copula constructions (Q320930) (← links)
- Copula regression spline models for binary outcomes (Q340845) (← links)
- Model-based clustering using copulas with applications (Q340862) (← links)
- Copula directed acyclic graphs (Q517376) (← links)
- Sample selection models for count data in R (Q722737) (← links)
- Simplified R-vine based forward regression (Q829728) (← links)
- Modeling dependence between error components of the stochastic frontier model using copula: application to intercrop coffee production in Northern Thailand (Q897750) (← links)
- Nonparametric estimation of simplified vine copula models: comparison of methods (Q1616352) (← links)
- Nonparametric estimation of pair-copula constructions with the empirical pair-copula (Q1623802) (← links)
- Bayesian model selection of regular vine copulas (Q1631599) (← links)
- Bivariate copula additive models for location, scale and shape (Q1654263) (← links)
- Semi-parametric copula sample selection models for count responses (Q1658729) (← links)
- A general approach to full-range tail dependence copulas (Q1681085) (← links)
- Vine copulas for mixed data: multi-view clustering for mixed data beyond meta-Gaussian dependencies (Q1698838) (← links)
- Copula approaches for modeling cross-sectional dependence of data breach losses (Q1799650) (← links)
- Mixture of D-vine copulas for modeling dependence (Q1800071) (← links)
- Total loss estimation using copula-based regression models (Q2015655) (← links)
- pyvine: the Python package for regular vine copula modeling, sampling and testing (Q2023903) (← links)
- Multivariate distributions of correlated binary variables generated by pair-copulas (Q2040911) (← links)
- On the quantification and efficient propagation of imprecise probabilities with copula dependence (Q2191243) (← links)
- Modelling the dependency between inflation and exchange rate using copula (Q2193441) (← links)
- Bayesian sequential design for copula models (Q2195747) (← links)
- Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach (Q2218640) (← links)
- A copula-based method of classifying individuals into binary disease categories using dependent biomarkers (Q2220308) (← links)
- Pair-copula models for analyzing family data (Q2223156) (← links)
- Economic and financial risk factors, copula dependence and risk sensitivity of large multi-asset class portfolios (Q2288967) (← links)
- Selection of sparse vine copulas in high dimensions with the Lasso (Q2329765) (← links)
- Sampling, conditionalizing, counting, merging, searching regular vines (Q2350035) (← links)
- Spatial composite likelihood inference using local C-vines (Q2350040) (← links)
- Dependence modelling in ultra high dimensions with vine copulas and the graphical Lasso (Q2416782) (← links)
- Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme (Q2674493) (← links)
- A multivariate frequency-severity framework for healthcare data breaches (Q2686030) (← links)
- Construction of leading economic index for recession prediction using vine copulas (Q2700564) (← links)
- Selection of Vine Copulas (Q2849522) (← links)
- R Package to Handle Archimax or Any User-Defined Continuous Copula Construction: acopula (Q2864238) (← links)
- Copula Modelling of Nurses’ Agitation-Sedation Rating of ICU Patients (Q3305498) (← links)
- R‐vine models for spatial time series with an application to daily mean temperature (Q3459928) (← links)
- Statistical arbitrage with vine copulas (Q4619524) (← links)
- DYNAMIC ASSET CORRELATIONS BASED ON VINES (Q4629569) (← links)
- Modeling Malicious Hacking Data Breach Risks (Q5027904) (← links)
- Control charts of mean and variance using copula Markov SPC and conditional distribution by copula (Q5083963) (← links)
- (Q5121467) (← links)
- (Q5121469) (← links)
- (Q5121470) (← links)
- Copula Link-Based Additive Models for Right-Censored Event Time Data (Q5130629) (← links)
- A method for constructing asymmetric pair-copula and its application (Q5154070) (← links)
