Defining the Model and Parameter
We are often interested in the estimation of a causal effect in data science, as well as an assessment of the uncertainty for our estimator. In Chap. 1, we described the road map we follow to estimate causal effects in complex data types for realistic research questions. This chapter details the formal definition of the model and target parameter, which will vary depending on your research question. However, the concepts presented here will be carried throughout the book for multiple parameters, and the template is general.
- J. Pearl, Causality: Models, Reasoning, and Inference, 2nd edn. (Cambridge, New York, 2009a)Google Scholar