ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models

28 September 2021

Papers citing "ParaLiNGAM: Parallel Causal Structure Learning for Linear non-Gaussian Acyclic Models"

8 / 8 papers shown

Title
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data Erdun Gao Kun Zhang Ruben Sanchez-Romero Joseph Ramsey Madelyn Glymour Clark Glymour CML 48 15 0 27 Jan 2019
cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU Behrooz Zarebavani Foad Jafarinejad Matin Hashemi Saber Salehkaleybar 49 32 0 20 Dec 2018
Who Learns Better Bayesian Network Structures: Accuracy and Speed of Structure Learning Algorithms M. Scutari C. E. Graafland J. Gutiérrez CML 106 53 0 30 May 2018
Budgeted Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash Elias Bareinboim CML 61 62 0 11 Sep 2017
A fast PC algorithm for high dimensional causal discovery with multi-core PCs T. Le Tao Hoang Jiuyong Li Lin Liu Huawen Liu 52 143 0 09 Feb 2015
TIGRESS: Trustful Inference of Gene REgulation using Stability Selection Anne-Claire Haury F. Mordelet Paola Vera-Licona Jean-Philippe Vert 42 399 0 06 May 2012
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model Shohei Shimizu Takanori Inazumi Yasuhiro Sogawa Aapo Hyvarinen Yoshinobu Kawahara Takashi Washio P. Hoyer K. Bollen CML 59 503 0 13 Jan 2011
Learning Bayesian Networks with the bnlearn R Package M. Scutari BDL 120 1,723 0 26 Aug 2009