This paper proposes an adaptive lasso Ⅳ estimator for structural equation variable selection.The estimator works for over identified structural equation mo
An important problem in multivariate statistics is the estimation of covariance matrices.We consider a class of nonparametric covariance models in which the
This study develops different ways of extending the one factor copula model to make more accurate forecast of credit risk model.In one extension,we propose