Impact of increasing false positive and negative errors in perturbation data on estimation of high dimensional cyclic graphs.
收藏NIAID Data Ecosystem2026-03-08 收录
下载链接：
https://figshare.com/articles/dataset/_Impact_of_increasing_false_positive_and_negative_errors_in_perturbation_data_on_estimation_of_high_dimensional_cyclic_graphs_/948447
下载链接
链接失效反馈官方服务：
资源简介：
Average performances measures, in percentages, for PCALG, FFLDR and RIPE in the synthetic cyclic network of size p = 1000 with different error structures. Numbers in parentheses indicate the standard deviation of the estimates over 5 draws of simulated data (only for PCALG and RIPE).
创建时间：
2014-02-28
