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Methodology Carnegie Mellon

Summary: Philosophy
Carnegie Mellon
Pittsburgh, Pennsylvania 15213
A Tutorial On Causal Inference
Peter Spirtes
August 4, 2009
Technical Report No. CMU-PHIL-183
A Tutorial On Causal Inference
Peter Spirtes1
1. Introduction
The goal of many sciences is to understand the mechanisms by which variables came
to take on the values they have (i.e. to find a generative model), and to predict what the
values of those variables would be if the naturally occurring mechanisms in a population2
were subject to outside manipulations. For example, a randomized experiment is one kind
of manipulation, which substitutes the outcome of a randomizing device to set the value
of a variable, such as whether or not a particular diet is used, instead of the naturally
occurring mechanism that determines diet. In non-experimental settings, biologists gather


Source: Andrews, Peter B. - Department of Mathematical Sciences, Carnegie Mellon University


Collections: Mathematics