45-911 Statistical Models for Management and Control - Causal Inference

6 units, Carnegie Mellon University

The course focuses on estimating models to guide management decisions to control a system or an organization. Statistical and machine learning methods are used to estimate regression and classification models. The distinction between correlation and causality is emphasized, and causality will be paramount. Specific topics will include Randomized Control Trials, multiarm bandits, directed acyclic graphs DAGs, propensity score modeling for observational studies, personalized marketing, and personalized medicine.

Prerequisites: none listed

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