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| Manabu KUROKI
Associate Professor, Multidimensional Data Analysis Group, Department of Data Science |
| E-mail: |
mkuroki  |
| Date of Birth: |
July, 1970 |
| Education: |
Bachelor of Mathematics, Faculty of Science and Technology, Tokyo University of Science, 1993
Doctor of Engineering, Graduate School of Decision Science and Technology, Tokyo Institute of Technology, 2001
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| Degree: |
Doctor of Engineering, Tokyo Institute of Technology, 2001, Title of Doctoral Thesis: Statistical Inference of Causal Effects in Causal Diagrams and Its Application to Engineering.
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| Employment: |
2001-2003, Assistant Professor, Tokyo Institute of Technology
2003-2011, Associate Professor, Osaka University
2011-, Associate Professor, The Institute of Statistical Mathematics
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Honors
&
Awards: |
The Japanese Society for Quality Control Encouraging Award, October, 1999
The Japanese Statistical Society Encouraging Award, September, 2002
The Nikkei QC Literature Prize, November, 2003
IEEE World Congress on Computational Intelligence Competition Program Award, June, 2008
The Japanese Society for Quality Control (Kansai Branch) Best Presentation Award, September, 2008
The Japanese Society for Quality Control Best Paper Award, November, 2008
Japanese Society of Applied Statistics Best Paper Award, August, 2009
ANQ (Asian Network for Quality) Congress 2010 Best Paper Award, October, 2010
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Research
Fields: |
Applied Statistics |
Research
Themes: |
Statistical Causal Inference, Graphical Modeling, Biostatistics, Statistical Quality Control |
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Selected Papers
(1) Kuroki, M. and Miyakawa, M. (1999), Estimation of causal effects in causal diagrams and its application to process analysis, Journal of the Japanese Society for Quality Control, 29, 237-247.
(2) Kuroki, M. and Miyakawa, M. (1999), Estimation of conditional intervention effect in adaptive control, Journal of the Japanese Society for Quality Control, 29, 476-486.
(3) Kuroki, M. and Miyakawa, M. (1999), Identifiability criteria for causal effects of joint interventions, Journal of the Japanese Statistical Society, 29, 105-117.
(4) Miyakawa, M. and Kuroki, M. (1999), Covariate selection for estimating effect of intervention in causal diagram, Japanese Journal of Applied Statistics, 28, 151-162.
(5) Kuroki, M. (2000), Selection of post-treatment variables for estimating Total effect from empirical research, Journal of the Japanese Statistical Society, 30, 129-142.
(6) Kuroki, M., Kikuchi, T. and Miyakawa, M. (2001), The graphical condition for identifying arrows in recovering causal structure, Journal of the Japanese Statistical Society, 31, 175-185.
(7) Kuroki, M. and Miyakawa, M. (2002), Joint intervention effects in linear structural equation model through linear regression parameters, Japanese Journal of Applied Statistics, 31, 107-121.
(8) Miyakawa, M., Kuroki, M. and Kobayashi, F. (2003), Collapsibility in regression model and covariate selection, Journal of the Japanese Society for Quality Control, 33, 128-133.
(9) Kuroki, M. and Miyakawa, M. (2003), Covariate selection for estimating the causal effect of control plans using causal diagrams, Journal of the Royal Statistical Society, Series B, 65, 209-222.
(10) Kuroki, M., Miyakawa, M. and Kawata, R. (2003), Instrumental variable (IV) selection for estimating total effects in conditional IV Method, Japanese Journal of Applied Statistics, 31, 89-100.
(11) Kuroki, M., Hirata, M. and Miyakawa, M. (2003), Clustering algorithm through the common linearity trend among clusters and its application, Bulletin of the Computational Statistics of Japan, 16, 157-166.
(12) Kuroki, M. and Miyakawa, M. (2004), Graphical identifiability criteria for total effects in studies with an unobserved response Variable, Behaviormetrika, 31, 13-28.
(13) Cai, Z., Miyakawa, M. and Kuroki, M. (2004), On estimable effects and aliasing patterns in Shainin's Variable Search, Journal of the Japanese Society for Quality Control, 34, 407-418.
(14) Kuroki, M. (2005), Bound on the average causal effect in studies with a latent response variable, Metrika, 61, 63-71.
(15) Cai, Z. and Kuroki, M. (2005), Variance estimators for three "probabilities of causation", Risk Analysis, 25, 1611-1620.
(16) Kuroki, M. and Cai, Z. (2006), On recovering population's covariance matrix in the presence of selection bias, Biometrika, 93, 601-611.
(17) Kuroki, M. (2007), Graphical identifiability criteria for average causal effects in studies with an unobserved treatment/response variable, Biometrika, 94, 37-47.
(18) Kuroki, M. (2007), Statistical causal inference : The Role of Bayesian networks in identifiability problems for causal effects, Journal of Japanese Society for Artificial Intelligence, 22, 328-335.
(19) Cai, Z., Kuroki, M. and Sato, T. (2007), Nonparametric bounds of treatment effects with noncompliance by covariate adjustment, Statistics in Medicine, 26, 3188-3204.
(20) Kuroki, M. (2007), Identifiability criteria for total effects in the presence of unmeasured confounders, Japanese Journal of Applied Statistics, 36, 71-85.
(21) Cai, Z., Kuroki, M., Pearl, J. and Tian, J. (2008), Bounds on direct effects in the presence of confounded intermediate variables, Biometrics, 64, 695-701.
(22) Kuroki, M. (2008), The evaluation of causal effects on the variance and its application to process analysis, Journal of the Japanese Society for Quality Control, 38, 87-98.
(23) Kuroki, M. and Cai, Z. (2008), Formulating tightest bounds on causal effects in studies with unmeasured confounders, Statistics in Medicine, 27, 6597-6611.
(24) Shingaki, R. and Kuroki, M. (2010), The formulation of causal effects in dynamic systems, International Journal of Biomedical Soft Computing and Human Sciences, 15, 9-19.
(25) Kuroki, M. and Watanabe, S. (2010), Characterization of single factor models through undirected independence graphs and its Application, Journal of the Japanese Society for Quality Control, 40, 55-63.
(26) Kuroki, M., Cai, Z. and Geng, Z. (2010), Sharp bounds on causal effects in case-control/cohort studies, Biometrika, 97, 123-132.
(27) Kuroki, M. and Chan, H. (2010), Graphical identification conditions for causal effects using linear structural equation models, Journal of Japanese Society for Artificial Intelligence, 25, 819-825.
(28) Kuroki, M. and Mizuseki, H. (2011), Weak collapsibility condition in a linear regression model by using an undirected independence graph, Journal of the Japanese Society for Quality Control, 41, 250-259.
(29) Kuroki, M. and Cai, Z. (2011), Statistical analysis of "probabilities of causation" using covariate information, Scandinavian Journal of Statistics, Accepted.
(30) Kuroki, M. (2011), Optimizing a control plan using causal diagram with an application to statistical process analysis, Journal of Applied Statistics, Accepted.
(31) Sano, N. and Kuroki, M. (2011), The kernel based MT method and its application, Journal of the Japanese Society for Quality Control, Accepted.
(32) Mizuseki, H. and Kuroki, M. (2011), On a weak collapsibility condition in logistic regression models, Journal of the Japanese Society for Quality Control, Accepted.
Selected Publications
(1) Kuroki, M. (2009), Japanese Translation of "Causality-Models, Reasoning and Inference-(Judea Pearl)" , Kyoritsu Shuppan.
Membership of Academic Societies
The Japanese Society for Quality Control, The Japanese Society of Computational Statistics, The Japan Industrial Management Association, The Behaviormetric Society of Japan, The Japanese Society for Applied Statistics, The Japanese Statistical Society, the Japanese Society for Artificial Intelligence, Quality Engineering Society
Professional Services
Editorial Board Member of Journal of the Japanese Society for Quality Control (2001-2005, 2010-), Delegate of of Journal of the Japanese Society for Quality Control (2001-), Program Committee for the Conference on Uncertainty in Artificial Intelligence (2010-2011), Editor-in-Chief of Japanese Journal of Applied Statistics (2010-2014), Council Member of The Japanese Society for Applied Statistics (2010-), Editorial Board Member of Japanese Journal of Biometrics (2011-), Secretary of Japanese Federation of Statistics Science Associations (2011-), Editorial Board Member of The Journal of Causal Inference (2011-)
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