Washio, Takashi

1. DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
   2011/01/13 by Shohei Shimizu, Takanori Inazumi, Shimizu, Shohei +15 · 32 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (stat.ML) #stat.ML
2. GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables
   2010/06/24 by Yoshinobu Kawahara, Kawahara, Yoshinobu, Kenneth Bollen +5 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI
3. Discovering causal structures in binary exclusive-or skew acyclic models
   2012/02/14 by Takanori Inazumi, Inazumi, Takanori, Takashi Washio +9 · 2 citations
   Chemistry · Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spectroscopy and Chemometric Analyses #cs.LG #stat.ML
4. Estimation of causal orders in a linear non-Gaussian acyclic model: a method robust against latent confounders
   2012/04/09 by Tatsuya Tashiro, Tashiro, Tatsuya, Shohei Shimizu +6 · 2 citations
   Computer Science · Decision Sciences · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (stat.ML) #Multi-Criteria Decision Making #Statistical Methods and Bayesian Inference #stat.ML
5. ParceLiNGAM: A causal ordering method robust against latent confounders
   2013/03/29 by Tatsuya Tashiro, Shohei Shimizu, Tashiro, Tatsuya +6 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #stat.ML