Impact of increasing false positive and negative errors in perturbation data on estimation of acyclic graphs.
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https://figshare.com/articles/dataset/_Impact_of_increasing_false_positive_and_negative_errors_in_perturbation_data_on_estimation_of_acyclic_graphs_/948448
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资源简介：
Average performances measures, in percentages for PCALG, FFLDR and RIPE in the synthetic DAG of size p = 100 with different error structures. Numbers in parentheses indicate the standard deviation of the estimates over 50 draws of simulated data (only for PCALG and RIPE).
创建时间：
2014-02-28
