Altered-LiNGAM (ALiNGAM) for solving nonlinear causal models when data is nonlinear and noisy

DOI10.1016/J.CNSNS.2017.04.018OpenAlexW2608543722MaRDI QIDQ2007437

S. Chakraverty, Pramod Kumar Parida, Tshilidzi Marwala

Publication date: 14 October 2020

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2017.04.018

zbMATH Keywords

causal levelsLiNGAMmixed non-Gaussian distributionsnon-linear causalityprobable causal directions

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Uses Software

• TETRAD
• DirectLiNGAM

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