DSA ADS Course - 2023
Discuss:
• Statistical Models
• Likelihood Models
• Bayesian Models
• Deterministic Numerical Models
• Simulation vs. Numerical Methods
September 2022
Overview
How the initial exaggerated danger shaped the narrative
How the definitions and data perpetuated the narrative
How the vaccines were mis-sold
The special problems with the UK data
Real world evidence of lack of vaccine efficacy and safety
The special problem of vaccination and pregnancy
DSA ADS Course, 2022
Statistical Analysis, Data Interpretation, Causal Analysis, Causality, Data Fusion, Missing Data, Counterfactuals
Discuss Leo Breiman’s “Statistical Modeling: The Two Cultures” in light of recent advances in machine learning and causal inference and the separation between the data-fitting and data-interpretation components of statistical modeling.
July, 2021
DSA ADS Course, 2022
Causal Machine learning, Double Machine Learning, Targeted Learning, Statistical Analysis, Data Interpretation, Causal Analysis, Causality, Data Fusion, Missing Data, Counterfactuals
Discuss recent advances in machine learning and causal inference and the separation between the data-fitting and data-interpretation components of statistical modeling.
Discuss causal machine learning, double machine learning and targeted learning.
Statistical Modelling in the Age of Data Science - July, 2021
Abstract
DSA ADS Course, 2022
Statistical Analysis, Data Interpretation, Causal Analysis, Causality, Data Fusion, Missing Data, Counterfactuals
Discuss the two cultures of statistical modeling according to Leo Breiman in light of recent advances in machine learning and causal inference and the separation between the data-fitting and data-interpretation components of statistical modeling.
DSA ADS Course - 2021
Unit Selection, Counterfactual Logic, A/B Testing, Statistical Analysis, Machine Learning
Discuss counterfactual logic in developing Recommender-type systems, A/B testing and machine learning.
Unit Selection Based on Counterfactual Logic - July, 2019
Abstract
2016
Judea Pearl - Computer Science and Statistics, University of California, Los Angeles, USA
Madelyn Glymour - Philosophy, Carnegie Mellon University, Pittsburgh, USA
Nicholas P. Jewell - Biostatistics and Statistics, University of California, Berkeley, USA
Preface