From Sparse Data to Bayesian Networks: A Statistical Learning Approach: Revision history

Jump to navigation Jump to search

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

24 December 2023

  • curprev 14:1614:16, 24 December 2023SatoshiNakamoto talk contribs 1,898 bytes +1,898 Created page with "Title: From Sparse Data to Bayesian Networks: A Statistical Learning Approach Research Question: Can we develop a method to learn the dependencies among random variables from sparse data, suggesting that these dependencies can be described by a simple graph with a small in-degree, and provide reliability bounds on the error of the estimated joint measure? Methodology: The authors propose a method to learn the dependencies among random variables by considering the case..."