Graphical model estimation performance of the proposed method (BVS-SL) approach under different values of the belief parameter, in the case where the mixed covariates consist of continuous and binary variables, where the binary predictors are generated as in Eq (5) under logit and probit links.
收藏NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://figshare.com/articles/dataset/Graphical_model_estimation_performance_of_the_proposed_method_BVS-SL_approach_under_different_values_of_the_belief_parameter_in_the_case_where_the_mixed_covariates_consist_of_continuous_and_binary_variables_where_the_binary_predictors_are_generated_as_in_/6878036
下载链接
链接失效反馈官方服务:
资源简介:
The results for different precision matrices structures as in Cases I(a)-(d), are presented in terms of specificity and sensitivity under the estimated graph, and the error in estimating the precision matrix in terms of the Frobenius norm.
创建时间:
2018-07-30



