AOSHIMA Makoto

J-GLOBAL         Last updated: Jul 29, 2019 at 10:56
 
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Name
AOSHIMA Makoto
E-mail
aoshimamath.tsukuba.ac.jp
URL
http://www.math.tsukuba.ac.jp/~aoshima-lab/
Affiliation
University of Tsukuba
Section
Institute of Mathematics
Job title
Professor
Degree
Doctor of Science(Tokyo University of Science)
Research funding number
90246679

Academic & Professional Experience

 
2007
 - 
Today
Professor, University of Tsukuba
 
1999
 - 
2007
Associate Professor, University of Tsukuba
 
1994
 - 
1999
Associate Professor, Tokyo Gakugei University
 
1992
 - 
1994
Assistant Professor, Tokyo University of Science
 

Education

 
 
 - 
1992
Graduate School, Division of Natural Science, Tokyo University of Science
 
 
 - 
1986
Faculty of Science, Tokyo University of Science
 

Committee Memberships

 
2019
 - 
Today
Journal of Multivariate Analysis (JMVA)  Associate Editor
 
2018
 - 
Today
Journal of the American Statistical Association (JASA)-Theory and Methods Associate Editor
 
2017
 - 
Today
Japanese Journal of Statistics and Data Science (JJSD) Editor-in-Chief 
 
2017
 - 
2018
Journal of the Japan Statistical Society Chief Editor
 
2018
 - 
Today
International Conference on Econometrics and Statistics  Scientific Program Committee
 
2015
 - 
Today
IMS Asia Pacific Rim Meetings  Scientific Program Committee
 
2000
 - 
Today
Japan Statistical Society  Director, Chief Editor, Councilor, Delegate
 
1997
 - 
2018
Japan Mathematical Society  Councilor, Organizing Committee
 
2004
 - 
Today
International Statistical Institute  Elected Member
 
2015
 - 
2017
Japan Society for the Promotion of Science  Evaluator
 
2011
 - 
2013
Japan Society for the Promotion of Science  Evaluator
 
2006
 - 
2014
International Workshop in Sequential Methodologies  Scientific Program Committee
 
2009
 - 
2012
IMS Asia Pacific Rim Meetings  Local Organizing Committee
 
1998
 - 
2002
Institute of Mathematical Statistics  Editorial Board of IMS Bulletin
 
2007
 - 
2010
Communications in Statistics -Theory & Methods  Guest Editor
 
2006
 - 
2010
Statistical Methodology  Associate Editor
 
2003
 - 
Today
Sequential Analysis  Associate Editor
 
2005
 - 
Today
Mathematical Reviews  Reviewer
 
2008
 - 
2013
Journal of the Japan Statistical Society  Associate Editor, Chief Editor
 
2008
 - 
2016
Tsukuba Journal of Mathematics  Associate Editor
 

Awards & Honors

 
2019
Abraham Wald Prize in Sequential Analysis
Winner: AOSHIMA Makoto, YATA Kazuyoshi, NAKAYAMA Yugo
 
2019
Tokyo Academy of Physics Award: Tokyo University of Science
 
2018
Best Faculty Member Award (Research): University of Tsukuba
 
2017
Honored Evaluator Award: Japan Society for the Promotion of Science
 
2017
Japan Statistical Society Award
 
2013
Honored Evaluator Award: Japan Society for the Promotion of Science
 
2013
Best Faculty Member Award (Research): University of Tsukuba
 
2012
Japan Statistical Society Research Achievement Award
Winner: AOSHIMA Makoto, YATA Kazuyoshi
 
2012
Abraham Wald Prize in Sequential Analysis
Winner: AOSHIMA Makoto, YATA Kazuyoshi
 
1999
Junjiro Ogawa Prize for Theoretical Advances: The Japan Statistical Society
 
1998
Man of the Year 1998: The American Biographical Institute
 

Published Papers

 
Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models
AOSHIMA Makoto, YATA Kazuyoshi
Annals of the Institute of Statistical Mathematics   71 473-503   2019   [Refereed]
Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model
ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto
Journal of Statistical Planning and Inference   202 99-111   2019   [Refereed]
High-dimensional quadratic classifiers in non-sparse settings
AOSHIMA Makoto, YATA Kazuyoshi
Methodology and Computing in Applied Probability      2018   [Refereed]
AOSHIMA Makoto, SHEN Dan, SHEN Haipeng, YATA Kazuyoshi, ZHOU Yi‐Hui, MARRON J.S.
Australian & New Zealand Journal of Statistics: Special Issue in Honour of Peter Gavin Hall   60 4-19   2018   [Refereed][Invited]
Two-sample tests for high-dimension, strongly spiked eigenvalue models
AOSHIMA Makoto, YATA Kazuyoshi
Statistica Sinica   28 43-62   2018   [Refereed]

Misc

 
Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings
NAKAYAMA Yugo, YATA Kazuyoshi, AOSHIMA Makoto
Annals of the Institute of Statistical Mathematics      2019   [Refereed]
Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model
ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto
Japanese Journal of Statistics and Data Science   2 105-128   2019   [Refereed]
High-dimensional statistical analysis: New developments of theories and methodologies (Japan Statistical Society Award Special Invited)
AOSHIMA Makoto
Journal of the Japan Statistical Society Japanese issue   48(1) 89-111   2018   [Refereed][Invited]
A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise
YATA Kazuyoshi, AOSHIMA Makoto, NAKAYAMA Yugo
Sequential Analysis   37 397-411   2018   [Refereed][Invited]
NAKAYAMA Yugo, YATA Kazuyoshi, AOSHIMA Makoto
Journal of Statistical Planning and Inference   191 88-100   2017   [Refereed]

Books etc

 
Effective Methodologies for Statistical Inference on Microarray Studies
AOSHIMA Makoto, YATA Kazuyoshi (Part:Contributor, Prostate Cancer - From Bench to Bedside, pp.13-32, Philippe E. Spiess (Ed.))
InTech   2011   
Recent Advances in Statistical Inference- in Honor of Professor Masafumi Akahira
AOSHIMA Makoto (Ed.)
Taylor & Francis   2010   
Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 3
HAYAKAWA Takesi, AOSHIMA Makoto, SHIMIZU Kunio (Eds.)
American Sciences Press   1997   
Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 2
HAYAKAWA Takesi, AOSHIMA Makoto, SHIMIZU Kunio (Eds.)
American Sciences Press   1996   
Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 1
HAYAKAWA Takesi, AOSHIMA Makoto, SHIMIZU Kunio (Eds.)
American Sciences Press   1995   

Conference Activities & Talks

 
High-Dimensional Statistical Analysis: Non-Sparsity, Strongly Spiked Noise and HDLSS (Keynote Speech) [Invited]
AOSHIMA Makoto
The 7th International Workshop in Sequential Methodologies,State University of New York, U.S.A.   Jun 2019   
Non-Sparse Modeling for High-Dimensional Data (Invited) [Invited]
AOSHIMA Makoto
Waseda International Symposium “Introduction of General Causality to Various Data & its Applications”, Waseda University   Feb 2019   
New Techniques in High-Dimensional Statistical Analysis: SSE vs. NSSE and Data Transformation (Keynote Speech) [Invited]
AOSHIMA Makoto
2018 Workshop on High-Dimensional Statistical Analysis, Academia Sinica, Taiwan   Dec 2018   
High-Dimensional Statistical Analysis: Non-Sparse Modeling, Geometric Representations and New PCAs (Keynote Speech) [Invited]
AOSHIMA Makoto
2018 Workshop on High-Dimensional Statistical Analysis, Academia Sinica, Taiwan   Dec 2018   
New techniques in high-dimensional statistical analysis (Invited) [Invited]
AOSHIMA Makoto
Waseda International Symposium “Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference”, Waseda University   Oct 2018   

Works

 
Joint Research on Theory and Methodologies for High-Dimensional Data Analysis
AOSHIMA Makoto   2003 - Today
Joint Research on Error Bounds in Higher Order Asymptotics
AOSHIMA Makoto   2003 - 2005
Joint Research on Optimal Discriminant Rule
AOSHIMA Makoto   1998 - 2002
Joint Research on Multisample Multivariate Sequential Procedures
AOSHIMA Makoto   1998 - 2004
Joint Research on Multiple Comparisons for Multinomial Cells
AOSHIMA Makoto   1996 - 2002

Research Grants & Projects

 
Theories and Methodologies for Large Complex Data
Grant-in-Aid for Scientific Research (A) 15H01678
Project Year: 2015 - 2019    Investigator(s): AOSHIMA Makoto
Tackling Individualized Modeling with Ultra-High Dimensional Data
Grant-in-Aid for Challenging Research (Exploratory) 19K22837
Project Year: 2019 - 2021    Investigator(s): AOSHIMA Makoto
New Developments for Big Data by Non-Sparse Modeling
Grant-in-Aid for Challenging Research (Exploratory) 17K19956
Project Year: 2017 - 2018    Investigator(s): AOSHIMA Makoto
Statistics for Big Data: Development of Theories and Tackling the 3Vs
Grant-in-Aid for Challenging Exploratory Research 26540010
Project Year: 2014 - 2016    Investigator(s): AOSHIMA Makoto
Theories and Methodologies for High-Dimensional Data Analysis
Grant-in-Aid for Scientific Research (B)
Project Year: 2010 - 2014    Investigator(s): AOSHIMA Makoto
New Developments of Multivariate Statistical Methodologies - High Speed, Robustness, and High Accuracy
Grant-in-Aid for Challenging Exploratory Research
Project Year: 2011 - 2013    Investigator(s): AOSHIMA Makoto
Mathematical Statistics for High-Dimensional, Low-Sample-Size Data Analysis and its Applications
Grant-in-Aid for Scientific Research (B)
Project Year: 2006 - 2009    Investigator(s): AOSHIMA Makoto
Mathematical Statistics for High-Dimensional Data Analysis and its Applications
Grant-in-Aid for Exploratory Research
Project Year: 2004 - 2005    Investigator(s): AOSHIMA Makoto