口頭発表(国際会議)

  1. Hirose, K. (招待講演)
    Penalized likelihood factor analysis.
    The 51st Scientific Meeting of the Italian Statistical Society (SIS 2022).
    University of Campania "Luigi Vanvitelli", Caserta, Italy, June 22-24, 2022.
  2. Hirose, K., and Teramoto, K. (招待講演)
    Penalized likelihood approach in multivariate regression with missing values and its application to materials science.
    The 5th International Conference on Econometrics and Statistics (EcoSta 2022).
    Hybrid Conference with Zoom, Ryukoku University, Kyoto, Japan. June 4-6, 2022.
  3. Yoshida, W. and Hirose, K.
    Computationally efficient forecasting algorithm in the SUTSE model and its properties.
    The 5th International Conference on Econometrics and Statistics (EcoSta 2022).
    Hybrid Conference with Zoom, Ryukoku University, Kyoto, Japan. June 4-6, 2022.
  4. Hirose, K., Teramoto, K.(招待講演)
    Sparse multivariate regression with missing values and its application to material properties prediction.
    IASC-ARS2022 (The 11th Conference of the IASC-ARS).
    Hybrid Conference with Zoom, Doshisha University, Kyoto, Japan. February 23, 2022.
  5. Hirose, K., and Miura, K.
    Hierarchical multiclass discriminant analysis via cross-validation.
    The 4th International Conference on Econometrics and Statistics (EcoSta 2021).
    Virtual Conference, Hong Kong University of Science and Technology, Hong Kong. June 24-26, 2021.
  6. Hirose, K.
    Event Effects Estimation on Electricity Load Forecasting.
    Artificial Intelligence for Operation and Management of Energy Systems.
    I2 CNER&IMI International Workshop.
    Zoom Meeting, January 25, 2021.
  7. Hirose, K., and Teramoto, K. (2019).
    L1 regularization and its application to polymer.
    Materials Research Meeting (MRM) 2019.
    Yokohama, Japan. December 10–14, 2019. ­­
  8. Hirose, K., Miura, K., and Koie, A.(招待講演)
    Cluster-based multiclass linear discriminant analysis.
    The 3rd International Conference on Econometrics and Statistics (EcoSta 2019).
    National Chung Hsing University (NCHU), Taichung, Taiwan. June 25–27, 2019.
  9. Hirose, K., and Terada, Y.
    Prenet Penalization in Factor Analysis and its Applications.
    International Conference on Advances in Interdisciplinary Statistics and Combinatorics.
    University of North Carolina at Greensboro, USA. October 5–7, 2018.
  10. Hirose, K., and Terada, Y.
    Simple structure estimation via prenet penalization in factor analysis model.
    The 2nd International Conference on Econometrics and Statistics (EcoSta 2018).
    City University of Hong Kong, Hong Kong. June 19–21, 2018.
  11. Hirose, K., and Terada, Y.(招待講演)
    Estimation of well-clustered structure via penalized maximum likelihood method in factor analysis model.
    10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017).
    University of London, London, UK. December, 2017.
  12. Hirose, K.(招待講演)
    Perfect simple structure estimation via extension of quartimin criterion.
    Conference of the International Federation of Classification Societies (IFCS 2017) .
    Tokai University, Japan. August, 2017.
  13. Hirose, K., Fujisawa, H.(招待講演)
    Robust estimation for high-dimensional Gaussian graphical models.
    The 1st International Conference on Econometrics and Statistics (EcoSta 2017) ,
    Hong Kong University of Science and Technology, Hong Kong. June, 2017.
  14. Hirose, K.(招待講演)
    Robust estimation for high-dimensional graphical models.
    Forum "Math-for-Industry" 2016. Science and Engineering Centre, Garden's Point Campus,
    Queensland University of Technology, Brisbane, Australia. November 21–23, 2016
  15. Hirose, K.(招待講演)
    Robust estimation for sparse Gaussian graphical model.
    International Conference on Statistical Distributions and Applications ICOSDA 2016.
    Crowne Plaza, Niagara Falls, Canada. Oct 14–16, 2016.
  16. Hirose, K., and Fujisawa, H.(招待講演)
    Robust Estimation for Gaussian Graphical Modeling and Its Application to Gene Expression Data.
    The fifth International Conference on Continuous Optimization.
    National Graduate Institute for Policy Studies (GRIPS), Tokyo, Japan. August 6–11, 2016.
  17. Hirose, K.(招待講演)
    Robust Estimation for Sparse Gaussian Graphical Modeling.
    The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM).
    The Chinese University of Hong Kong, Hong Kong. June 27–30, 2016.
  18. Hirose, K., Ogura, Y., and Shimodaira, H.
    Estimation of Scale-Free Networks with the Exponentiation of Minimax Concave Penalty.
    The 9th Conference of the Asian Regional Section of the IASC (IASC-ARS 2015),
    National University of Singapore, Singapore. December, 2015.
  19. Mizusako, S., Nagao H., Hirose, K., Kano M., Hori, M., Sakai, S., Nakagawa, S., Honda, R., Kimura, H., and Hirata, N.
    Data-driven imaging of seismic wave field in the Tokyo metropolitan area based on lasso.
    AOGS (Asia Oceania Geosciences Society) 12th Annual Meeting.
    Suntec Singapore Convention and Exhibition Centre, Singapore. August, 2015.
  20. Mizusako S., Nagao H., Kano M., Hirose, K., and Hori, M.
    Imaging ground motions in the Tokyo metropolitan area from MeSO-net seismograms based on LASSO.
    The 4th International Symposium on Data Assimilation.
    RIKEN AICS, Kobe, Japan. February, 2015.
  21. Hirose, K., and Yamamoto, M.
    Estimation of factor correlation in penalized likelihood factor analysis.
    The 7th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM 2013), University of Pisa, Italy. December, 2014.
  22. Mizusako S., Nagao H., Kano M., Hirose, K., and Hori, M
    Imaging ground motions in the Tokyo metropolitan area based on MeSO-net using lasso.
    AGU (American Geophysical Union) Fall Meeting.
    Moscone Convention Center, San Francisco, USA. December, 2014.
  23. Hirose, K., and Yamamoto, M. (招待講演)
    Extension of Rotation Technique via Penalization in Factor Analysis Model.
    International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC 2014).
    Greensboro, USA. October, 2014.
  24. Hirose, K., and Yamamoto, M.
    Lasso-type penalized maximum likelihood factor analysis via nonconvex penalties.
    The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting (APRM 2014).
    Howard International House, Taipei. July, 2014.
  25. Hirose, K., Kim, S., Kano, Y., Imada, M., Yoshida, M., and Matsuo, M.
    Maximum likelihood factor analysis with a large number of missing values.
    The 6th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM 2013), University of London, UK. December, 2013.
  26. Hirose, K.
    Full Information Maximum Likelihood Estimation in Factor Analysis with a Large Number of Missing Values.
    International Symposium at Osaka University “Incomplete Data Analysis and Causal Inference.
    Osaka University, Japan. September, 2013.
  27. Hirose, K., and Yamamoto, M.
    Lasso-type penalized maximum likelihood factor analysis.
    Joint Statistical Meeting 2013.
    Palais des congrès de Montréal, Canada. August, 2013.
  28. Hirose, K., and Yamamoto, M. (招待講演)
    Penalized likelihood factor analysis via non-convex penalties.
    The 5th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM 2012).
    Conference Center, Oviedo, Spain. December, 2012.
  29. Hirose, K., Tateishi, S., and Konishi, S.
    Regularization Parameter Selection in Convex and Non-Convex Penalized Least Squares Estimation.
    Joint Statistical Meeting 2012.
    San Diego Convention Centre, USA. August, 2012.
  30. Hirose, K., Tateishi, S., and Konishi, S.
    Tuning parameter selection in sparse regression modeling.
    The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting (APRM 2012).
    Tsukuba International Congress Center, Japan. July, 2012.
  31. Hirose, K., and Higuchi, T.
    Generating Artistic Character Facial Animation based on Motion Capture Data.
    Proceedings of The 2012 International Workshop on Advanced Image Technology.
    Ho Chi Minh, Vietnam. January, 2012.
  32. Hirose, K., Tateishi, S., and Konishi, S.
    Tuning parameter selection for L1 type regularization.
    Joint Meeting of the Korea-Japan Conference of Computational Statistics and the 25th Symposium of Japanese Society of Computational Statistics.
    Haeundae Grand Hotel, Busan, Korea. November, 2011.
  33. Hirose K., and Konishi, S.
    Variable selection via the lasso-type regularization for structural equation models.
    Joint Statistical Meeting 2010.
    Vancouver Convention Centre, Canada. August, 2010.
  34. Hirose K., Kawano, S., Konishi, S., and Ichikawa, M.
    A choice of the number of factors and hyper-parameter selection in Bayesian factor analysis model.
    Joint Statistical Meeting 2009.
    Walter E. Washington Convention Center in Washington D.C, USA. August, 2009.
  35. Hirose, K., Kawano, S., Konishi, S., and Ichikawa, M.
    Selection of the number of factors in Bayesian factor analysis.
    The 7th World Congress in Probability and Statistics.
    National University of Singapore, Singapore. July, 2008.