# A Primer on Causal Analysis

arXiv: https://arxiv.org/abs/1806.01488 · HTML: https://mlsanity.com/paper/1806.01488/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jun 2018.

## Built on by (most cited first, 1 of 1)

- [Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions](https://mlsanity.com/paper/2304.11503/) (2023)

## Abstract (arXiv)

We provide a conceptual map to navigate causal analysis problems. Focusing on the case of discrete random variables, we consider the case of causal effect estimation from observational data. The presented approaches apply also to continuous variables, but the issue of estimation becomes more complex. We then introduce the four schools of thought for causal analysis