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Affiliation
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Faculty of Science and Technology, Department of Mathematics ( Yagami )
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Position
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Associate Professor
Poignard, Benjamin
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Career 【 Display / hide 】
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2017.07-2019.03
Japan Society for the Promotion of Science, Graduate School of Engineering Science, Osaka University
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2019.04-2023.03
Osaka University, Graduate School of Economics
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2019.06-2023.03
RIKEN AIP, High-dimensional statistical modeling unit
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2023.04-2025.03
The University of Osaka, Graduate School of Economics
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2023.04-Present
RIKEN AIP, Continuous optimization team, Visiting scientist
Academic Background 【 Display / hide 】
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2009.08-2014.09
ESCP Europe, Master in Management (Grande Ecole Program)
France
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2009.09-2011.06
University Paris 1 Pantheon-Sorbonne, Bachelor and Master 1 in applied mathematics, 2009-2011
France
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2011.09-2012.09
University Paris 1 Pantheon-Sorbonne, Master Modeling and Mathematical Methods in Economics and Finance (DEA MMME)
France
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2012.09-2014.09
ENSAE Paris, Statistician-Economist (Grande Ecole Program)
France
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2014.10-2017.06
Center for Research in Economics and Statistics (CREST) and PSL University, PhD in applied mathematics
France
Research Areas 【 Display / hide 】
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Informatics / Statistical science (Asymptotic theory; Sparsity; Time series)
Research Keywords 【 Display / hide 】
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Sparsity
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Time series
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Asymptotic theory
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High-dimensional statistics
Papers 【 Display / hide 】
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Factor multivariate stochastic volatility models of high dimension
Benjamin Poignard, Manabu Asai
Econometric Reviews (Taylor & Francis) 2026.06
Research paper (scientific journal), Joint Work, Corresponding author, Accepted
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Sparse Minimum Redundancy Maximum Relevance for Feature Selection
Peter Naylor, Benjamin Poignard, Héctor Climente‐González, Makoto Yamada
Scandinavian Journal of Statistics (Wiley) 2026.05
Research paper (scientific journal), Joint Work, Corresponding author, Accepted
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Estimation of time series by Maximum Mean Discrepancy
Pierre Alquier, Jean-David Fermanian, Benjamin Poignard
Arxiv working paper 2026.01
Research paper (scientific journal), Joint Work
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Sparse factor models of high dimension
Benjamin Poignard, Yoshikazu Terada
Arxiv working paper 2025.01
Research paper (scientific journal), Joint Work
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Break recovery in graphical networks with D-trace loss
Ying Lin, Benjamin Poignard, Ting Kei Pong, Akiko Takeda
Arxiv working paper 2024.10
Research paper (scientific journal), Single Work
PDF1Research Projects of Competitive Funds, etc. 【 Display / hide 】
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Statistical modelling for multivariate models of high dimension
2025.04-2028.03若手研究, Principal investigator
Courses Taught 【 Display / hide 】
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MATHEMATICS 2B
2026
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GRADUATE RESEARCH ON MATHEMATICAL AND PHYSICAL SCIENCES 2
2026
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MATHEMATICAL SCIENCES PRACTICAL RESEARCH ACTIVITY C
2026
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DOCTORAL RESEARCH ON MATHEMATICAL AND PHYSICAL SCIENCES
2026
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BACHELOR'S THESIS
2026
Memberships in Academic Societies 【 Display / hide 】
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The Japan Statistical Society,
2018.01-Present
Click to view the Scopus page. The data was downloaded from Scopus API in May 24, 2026, via http://api.elsevier.com and http://www.scopus.com .