口頭発表(国際会議)

[1] 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),
July, 2014.

[2] Hirose, K., Kim, S., Kano, Y., Imada, M., Yoshida, M. and Matsuo, M.
Maximum likelihood factor analysis with a large number of missing values.
6th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM 2013), University of London, UK.
December 2013.

[3] 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.
September, 2013.

[4] Hirose, K., and Yamamoto, M.
Lasso-type penalized maximum likelihood factor analysis.
Joint Statistical Meeting 2013. Palais des congrès de Montréal, Canada.
August, 2013.

[5] Hirose, K., and Yamamoto, M.(招待講演)
Penalized likelihood factor analysis via non-convex penalties.
5th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM 2012)
Conference Center, Oviedo, Spain.
December, 2012.

[6] 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 in San Diego.
August, 2012.

[7] 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.

[8] Hirose, K. and Higuchi, T.
Generating Artistic Character Facial Animation based on Motion Capture Data.
The 2012 International Workshop on Advanced Image Technology, Ho Chi Minh, Vietnam.
January, 2012.

[9] 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, Busan, Korea.
November, 2011.

[10] Hirose K. and Konishi, S.
Variable selection via the lasso-type regularization for structural equation models.
Joint Statistical Meeting 2010. Vancouver Convention Centre in Vancouver.
August, 2010.

[11] 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.
August, 2009.

[12] 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.