Additive Models for Conditional Copulas
Methodology
2014-07-31 v1
Abstract
Conditional copulas are flexible statistical tools that couple joint conditional and marginal conditional distributions. In a linear regression setting with more than one covariate and two dependent outcomes, we propose the use of additive models for conditional bivariate copula models and discuss computation and model selection tools for performing Bayesian inference. The method is illustrated using simulations and a real example.
Cite
@article{arxiv.1407.8119,
title = {Additive Models for Conditional Copulas},
author = {Avideh Sabeti and Mian Wei and Radu V. Craiu},
journal= {arXiv preprint arXiv:1407.8119},
year = {2014}
}