Bayesian non‐parametric conditional copula estimation of twin data

摘要: Several studies on heritability in twins aim at understanding the different contribution of environmental and genetic factors to specific traits. Considering national merit twin study, our purpose is analyse correctly influence socio-economic status relationship between twins’ cognitive abilities. Our methodology based conditional copulas, which enable us model effect a covariate driving strength dependence main variables. We propose flexible Bayesian non-parametric approach for estimation can any copula density. extends work Wu, Wang Walker 2015 by introducing from an infinite mixture model. results suggest that are more influential families with lower position.