Statistical learning with uncertainty quantification of large-scale causal networks

Li, Chunlin2025-02-262025-02-262022-10https://hdl.handle.net/11299/270055University of Minnesota Ph.D. dissertation. October 2022. Major: Statistics. Advisor: Xiaotong Shen. 1 computer file (PDF); ix, 161 pages.Causal discovery aims to provide a plausible hypothesis about the causal mechanism. This work introduces statistical methods to learn and quantify the uncertainty of learning causal relationships in a directed acyclic graph in three different data scenarios.enStatistical learning with uncertainty quantification of large-scale causal networksThesis or Dissertation