Kernel partial correlation: a novel approach to capturing conditional independence in graphical models for noisy data

DOI10.1080/02664763.2018.1437123OpenAlexW2793996706MaRDI QIDQ5036378

Ji Hwan Oh, Faye Zheng, Hyonho Chun, Rebecca W. Doerge

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2018.1437123

zbMATH Keywords

reproducing kernel Hilbert spaceconditional independencegraphical modelsupport vector regressionpartial correlation coefficientHilbert-Schmidt independence criterion

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• glasso
• Kernlab
• ElemStatLearn
• PRMLT

Cites Work

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