Module 1: The Foundations of Causality (pdf)
Module 1: The Foundations of Causality
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Module 1: The Foundations of Causality
Potential outcomes, treatment effects, and randomized trials.
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- 0 Rating
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- 2 Students Enrolled
Courselet Content
1 components
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977.48 K |
Requirements
- Basic statistics.
General Overview
Description
Association and causation, potential outcomes, SUTVA, treatment effects, and randomized controlled trials.
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Meet the instructors !
About the Instructor
David Siang-Li Jheng is a PhD candidate at the Doctoral School of Cybernetics and Economic Statistics, Bucharest University of Economic Studies, Romania. His research focuses on detecting anomalies and modeling dependence structures in high-dimensional, high-frequency financial data.
With a background in financial engineering and mathematics from National Yang Ming Chiao Tung University (NYCU) and National Taiwan Normal University (NTNU), he investigates systemic risks through advanced methodologies such as Financial Risk Meters and anomaly detection models.