A Gentle Introduction to Causal Discovery

Joe Suzuki
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Joe Suzuki: Osaka University, Graduate School of Engineering Sciences

Chapter Chapter 1 in Graphical Models and Causal Discovery with Python, 2026, pp 1-14 from Springer

Abstract: Abstract In this chapter, as a warm-up, I would like to describe the overall picture of causal discovery without going into rigorous details. Using examples, I explain the two problems that make up causal discovery—dependency structure and variable ordering. My goal is for this single chapter to convey not only the big picture of the book but also its essence.

Date: 2026
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DOI: 10.1007/978-981-95-5308-2_1

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