Essays about: "PC-algorithm"
Found 3 essays containing the word PC-algorithm.
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1. Selection of Sufficient Adjustment Sets for Causal Inference : A Comparison of Algorithms and Evaluation Metrics for Structure Learning
University essay from Uppsala universitet/Statistiska institutionenAbstract : Causal graphs are essential tools to find sufficient adjustment sets in observational studies. Subject matter experts can sometimes specify these graphs, but often the dependence structure of the variables, and thus the graph, is unknown even to them. In such cases, structure learning algorithms can be used to learn the graph. READ MORE
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2. Causal discovery in the presence of missing data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Missing data are ubiquitous in many domains such as healthcare. Depending on how they are missing, the (conditional) independence relations in the observed data may be different from those for the complete data generated by the underlying causal process (which are not fully observable) and, as a consequence, simply applying existing causal discovery methods to the observed data may give wrong conclusions. READ MORE
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3. An Approach on Learning Multivariate Regression Chain Graphs from Data
University essay from Databas och informationsteknik; Tekniska högskolanAbstract : The necessity of modeling is vital for the purpose of reasoning and diagnosing in complex systems, since the human mind might sometimes have a limited capacity and an inability to be objective. The chain graph (CG) class is a powerful and robust tool for modeling real-world applications. READ MORE
