Comorbidity of chronic diseases in the elderly: patterns identified by a copula design for mixed responses
From MaRDI portal
Publication:1663275
DOI10.1016/j.csda.2015.02.001zbMath1468.62182OpenAlexW2017650953WikidataQ56865727 ScholiaQ56865727MaRDI QIDQ1663275
Hyokyoung Grace Hong, Pulak Ghosh, Jakob Stöber, Claudia Czado
Publication date: 21 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2015.02.001
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items
Copula Regression for Compound Distributions with Endogenous Covariates with Applications in Insurance Deductible Pricing, Model selection for discrete regular vine copulas, Copula in a multivariate mixed discrete-continuous model, Structure learning in Bayesian networks using regular vines, Analysis of ordinal and continuous longitudinal responses using pair copula construction, Vine copula statistical disclosure control for mixed-type data, Enhanced pricing and management of bundled insurance risks with dependence-aware prediction using pair copula construction, Vine copula regression for observational studies, Explaining predictive models using Shapley values and non-parametric vine copulas, Prediction based on conditional distributions of vine copulas, Pair Copula Constructions for Insurance Experience Rating, Selection of Vine Copulas, Vine copula graphical models in the construction of biological networks
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Pair-copula constructions of multiple dependence
- Selecting and estimating regular vine copulae and application to financial returns
- Extending the rank likelihood for semiparametric copula estimation
- Efficient Bayesian inference for Gaussian copula regression models
- Simplified pair copula constructions -- limitations and extensions
- On the estimation of normal copula discrete regression models using the continuous extension and simulated likelihood
- Copula Gaussian graphical models and their application to modeling functional disability data
- Derivatives and Fisher information of bivariate copulas
- An introduction to copulas.
- On rank correlation measures for non-continuous random variables
- A survey of cross-validation procedures for model selection
- Vines -- a new graphical model for dependent random variables.
- Gaussian copula marginal regression
- Estimating standard errors in regular vine copula models
- Probability density decomposition for conditionally dependent random variables modeled by vines
- Selection of Vine Copulas
- A Gaussian copula approach for the analysis of secondary phenotypes in case-control genetic association studies
- Joint Regression Analysis of Correlated Data Using Gaussian Copulas
- Pair Copula Constructions for Multivariate Discrete Data
- Estimation of Copula Models With Discrete Margins via Bayesian Data Augmentation
- Modeling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Bayesian Gaussian Copula Factor Models for Mixed Data
- A Primer on Copulas for Count Data
- A new look at the statistical model identification