Data versus Science: Contesting the Soul of Data-Science
On 26 Apr, 2022 By admin 0 Comments
Causality
The Seven Tools of Causal Inference, with Reflections on Machine Learning
On 26 Apr, 2022 By admin 0 Comments
DSA ADS Course - 2021
Causality, Causal Reasoning, Causal Inference, Machine Learning, Algorithms
Discuss causality and machine learning - contrast with statistical correlations.
The Seven Tools of Causal Inference, with Reflections on Machine Learning - March, 2019 By Judea Pearl
The Causal Foundations of Applied Probability and Statistics
On 20 Mar, 2022 By admin 0 Comments
DSA ADS Course - 2022
Probabilistic Logic, Probability Theory, Causality, Causal Inference, Applied Probability, Statistics
Discuss applied probability theory and causality.
The Causal Foundations of Applied Probability and Statistics - November, 2020
Abstract
Causally Colored Reflections on Leo Breiman’s “Statistical Modeling: The Two Cultures”
On 14 Dec, 2021 By admin 0 Comments
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
Statistical Modelling in the Age of Data Science
On 14 Dec, 2021 By admin 0 Comments
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
Statistical Modeling The Two Cultures
On 14 Dec, 2021 By admin 0 Comments
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.
Causal Identification with Matrix Equations
On 12 Dec, 2021 By admin 0 Comments
December, 2021
Abstract
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
On 12 Dec, 2021 By admin 0 Comments
December, 2021
Abstract
Worldwide Bayesian Causal Impact Analysis of Vaccine Administration on Deaths and Cases Associated with COVID-19: A BigData Analysis of 145 Countries
On 23 Nov, 2021 By admin 0 Comments
A Survey of Learning Causality with Data: Problems and Methods
On 17 Oct, 2021 By admin 0 Comments
January, 2020
Abstract