Tutorial Causal Fairness Analysis - Video
On 14 Apr, 2021 By admin 0 Comments
Causality
Causal Inference and Data Fusion in Econometrics
On 14 Apr, 2021 By admin 0 Comments
March, 2021
Abstract
Estimating Identifiable Causal Effects through Double Machine Learning
On 14 Apr, 2021 By admin 0 Comments
Simpson’s Paradox: A Singularity of Statistical and Inductive Inference
On 31 Mar, 2021 By admin 0 Comments
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
On 7 Mar, 2021 By admin 0 Comments
Towards Causal Representation Learning
On 1 Mar, 2021 By admin 0 Comments
February, 2021
Abstract
Nonlinear Invariant Risk Minimization: A Causal Approach
On 1 Mar, 2021 By admin 0 Comments
February, 2021
Abstract
CAUSAL INFERENCE IN STATISTICS - A PRIMER
On 19 Feb, 2021 By admin 0 Comments
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
Causal Inference: What If
On 19 Feb, 2021 By admin 0 Comments
2020
Miquel Hernan and Jamie Robins
The book is divided in three parts of increasing difficulty:
Part I is about causal inference without models (i.e., nonparametric identification of causal effects),
Part II is about causal inference with models (i.e., estimation of causal effects with parametric models).
Part III is about causal inference from complex longitudinal data (i.e., estimation of causal effects of time-varying treatments).
PATTERNS, PREDICTIONS, AND ACTIONS A story about machine learning
On 17 Feb, 2021 By admin 0 Comments
February, 2021
Introduction