Testing Independence and Conditional Independence with Kernels

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

Chapter Chapter 4 in Graphical Models and Causal Discovery with Python, 2026, pp 55-78 from Springer

Abstract: Abstract In this chapter, we explain methods for testing independence and conditional independence between variables using kernel functions. Kernel methods are powerful techniques that flexibly handle nonlinear and high-dimensional dependence structures.

Date: 2026
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DOI: 10.1007/978-981-95-5308-2_4

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