Shohei Shimizu
Associate Professor
Faculty of Data Science
Shiga University
Japan
Biography
Shohei Shimizu is an Associate Professor at the Faculty of Data Science, Shiga University, Japan, is cross-appointed as a Specially-Appointed Associate Professor at the Institute of Scientific and Industrial Research, Osaka University, and also leads the Causal Inference Team, RIKEN Center for Advanced Intelligence Project. He received his Bachelor's and Master's in Human Sciences (Psychometrics) and Ph.D. in Engineering (Statistical Science) from Osaka University in 2001, 2003, 2006, respectively.
Research Interest
His research interests include statistical methodologies for learning data generating processes such as structural equation modeling and independent component analysis and their application to causal inference. He received Hayashi Chikio Award (Excellence Award) from the Behaviormetric Society in 2016. He is a coordinating editor of Springer Behaviormetrika since 2016.
Publications
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S. Shimizu, T. Inazumi, Y. Sogawa, A. Hyvärinen, Y. Kawahara, T. Washio, P. O. Hoyer and K. Bollen. DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model. Journal of Machine Learning Research, 12(Apr): 1225--1248, 2011.
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S. Shimizu. Joint estimation of linear non-Gaussian acyclic models. Neurocomputing, 81: 104-107, 2012
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K. Kadowaki, S. Shimizu, and T. Washio. Estimation of causal structures in longitudinal data using non-Gaussianity. In Proc. 23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP2013), pp. 1--6, Southampton, United Kingdom, 2013.
