所外誌掲載論文等（統計数理研究所ニュース138号）

本研究所の教員、研究員、総研大（統計科学専攻）大学院生によって発表された論文等の一部をご紹介します。

Adachi, S., Iwata, S., Nakatsukasa, Y. and Takeda, A., Solving the trust region subproblem by a generalized eigenvalue problem, SIAM Journal on Optimization, 27, 269-291, doi:10.1137/16M1058200, 2017.02

Fujimori, K. and Nishiyama, Y., The l_q consistency of the Dantzig selector for Cox's proportional hazards model, Journal of Statistical Planning and Inference, 181, 62-70, 2017.02

Fujimori, K. and Nishiyama, Y., The Dantzig selector for diffusion processes with covariates, Journal of Japan Statistical Society, 47(1), 59-73, 2017.06

Fujiwara, S., Takeda, A. and Kanamori, T., DC algorithm for extended robust support vector machine, Neural Computation, 29, 1406-1438, doi:10.1162/NECO_a_00958, 2017.05

Gotoh, J., Takeda, A. and Tono, K., DC formulations and algorithms for sparse opti- mization problems, Mathematical Programming, doi:10.1007/s10107-017-1181-0, 2017.12

Hayamizu, M. and Fukumizu, K., On minimum spanning tree-like metric spaces, Discrete Applied Mathematics, 226, 51-57, doi:10.1016/j.dam.2017.04.001, 2017.07

Hayamizu, M., Endo, H. and Fukumizu, K., A characterization of minimum spanning tree-like metric spaces, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 14(2), 468-471, doi:10.1109/TCBB.2016.2550431, 2016.04

Honda, T. and Yabe, R., Variable selection and structure identification for varying coefficient Cox models, Journal of Multivariate Analysis, 161, 103-122, doi:10.1016/j.jmva.2017.07.007, 2017.09

Ito, N., Takeda, A. and Toh, K. -C., A unified formulation and fast accelerated proximal gradient method for classification, Journal of Machine Learning Research, 18, 1-49, 2017.03

Ito, S., Nagao, H., Kasuya, T. and Inoue, J., Grain growth prediction based on data assimilation by implementing 4DVar on multi-phase-field model, Science and Technology of Advanced Materials, 18(1), 857-869, doi:10.1080/14686996.2017.1378921, 2017.10

Kanamori, T., Fujiwara, S. and Takeda, A., Breakdown point of robust support vector machine, Entropy, 19, 83, doi:10.3390/e19020083, 2017.02

Kanamori, T., Fujiwara, S. and Takeda, A., Robustness of learning algorithms using hinge loss with outlier indicators, Neural Networks, 94, 173-191, 2017.10

Mizukami, Y., Mizutani, Y., Honda, K., Suzuki, S. and Nakano, J., An International Research Comparative Study of the Degree of Cooperation between disciplines within mathematics and mathematical sciences: proposal and application of new indices for identifying the specialized field of researchers, Behaviormetrika, 44(2), 385-403, 2017.05

長尾 大道, 伊藤 伸一, 不確実性評価が可能な新しい4次元変分法, 地盤工学会誌, 65(10), 2-5, 2017.10

Negri, I. and Nishiyama, Y., Z-process method for change point problems with applications to discretely observed diffusion processes, Statistical Methods and Applications, 26(2), 231-250, 2017.06

Negri, I. and Nishiyama, Y., Moment convergence of Z-estimators, Statistical Inference for Stochastic Processes, 20(3), 387-397, 2017.10

Sakaue, S., Takeda, A., Kim, S. and Ito, N., Exact SDP relaxations with truncated moment matrix for binary polynomial optimization problems, SIAM Journal on Optimization, 27, 565-582, doi:10.1137/16M105544X, 2017.03

Sasaki, K., Yamanaka, A., Ito, S. and Nagao, H., Data assimilation for phase-field models based on the ensemble Kalman filter, Computational Materials Science, 141, 141-152, doi:10.1016/j.commatsci.2017.09.025, 2018.01