Causality from the Point of View of Classical Statistics

08/20/2019
by   José A. Ferreira, et al.
0

An attempt is made to provide a clear and concise basis for a statistical approach to causality which subsumes and reconciles the models proposed by J. Pearl, J. Robins, D. Rubin and other authors, and which fits in with classical statistical theory and with methods based on stratification and matching. Proofs of the most important results are given, and a variety of examples considered by the different schools of 'statistical causality' are treated in detail and in a self-contained manner.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/01/2022

From Statistical to Causal Learning

We describe basic ideas underlying research to build and understand arti...
research
10/31/2019

Towards A Logical Account of Epistemic Causality

Reasoning about observed effects and their causes is important in multi-...
research
01/18/2018

Anchor regression: heterogeneous data meets causality

This is a preliminary draft of "Anchor regression: heterogeneous data me...
research
03/08/2019

A Quantum Observation Scheme Can Universally Identify Causalities from Correlations

It has long been recognized as a difficult problem to determine whether ...
research
07/26/2021

PAD: a graphical and numerical enhancement of structural coding to facilitate thematic analysis of a literature corpus

We suggest an enhancement to structural coding through the use of (a) ca...
research
11/10/2022

Bell's theorem is an exercise in the statistical theory of causality

In this short note, I derive the Bell-CHSH inequalities as an elementary...
research
03/06/2013

Probabilistic Assumption-Based Reasoning

The classical propositional assumption-based model is extended to incorp...

Please sign up or login with your details

Forgot password? Click here to reset