所外誌掲載論文等（統計数理研究所ニュース139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。

Bando, Y., Sano, N., Tanaka, M. and Suzuki, T., Improving adaptive pairing method in incomplete paired comparison design, Total Quality Science, 3, 59-68, doi:10.17929/tqs.3.59, 2018.01

Hirose, K. and Fujisawa, H., Robust sparse Gaussian graphical modeling, Journal of Multivariate Analysis, 161, 172-190, 2017.07

Iwasawa, T., Yoshida, K., Sano, N., Tanaka, M. and Suzuki, T., Defect detection for improving inspection process using orthogonal array: A case study of cylindrical metal products, Total Quality Science, 3, 11-21, doi:10.17929/tqs.3.11, 2017.08

Iwasawa, T., Lu, X. -N., Tanaka, M. and Suzuki, T., Robust defect detection for automatic inspection system, Proceedings of the 15th Asian Network for Quality Congress, B5, 18-26, 2017.09

Katayama, S. and Fujisawa, H., Sparse and robust linear regression: an optimization algorithm and its statistical properties, Statistica Sinica, 27, 1243-1264, 2017.06

Frieler, K., Lange, S., Piontek, F., Reyer, C., Schewe, J., Warszawski, L., Zhao, F., Chini, L., Denvil, S., Emanuel, K., Geiger, T., Halladay, K., Hurtt, G., Mengel, M., Murakami, D. and  others, Assessing the impacts of 1.5°C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), Geoscientfic Model Development, 10(12), doi:10.5194/gmd-10-4321-2017, 2017.11

Kato-Nitta, N., Maeda, T., Iwahashi, K. and Tachikawa, M., Understanding the public, the visitors, and the participants in science communication activities, Public Understanding of Science, doi:10.1177/0963662517723258, 2017.08

Kawashima, T. and Fujisawa, H., Robust and Sparse Regression via gamma-divergence, Entropy, 19, 608, 2017.11

Konishi, R., Takeda, A. and Takahashi, M., Optimal sizing of energy storage systems for the energy procurement problem in multi-period markets under uncertainties, Energies, 11, 158, doi:10.3390/en11010158, 2018.01

Lopez, J., Barbero, A. and Takeda, A., Improving cash management in bank branches by combining machine learning and robust optimization, Expert Systems With Applications, 92, 236-255, doi: 10.1016/j.eswa.2017.09.043, 2018.02

Minson, S., Wu, S., Heaton, T. and Beck, J., Combining multiple earthquake models in real time for earthquake early warning, Bulletin of the Seismological Society of America, 107(4), 1862-1882, doi:10.1785/0120160331, 2017.06

Mizutani, T. and Tanaka, M., Efficient preconditioning for noisy separable NMFs by successive projection based low-rank approximations, Machine Learning, doi:10.1007/s10994-017-5673-1, 2017.10

Ogawa, M., Tanaka, M. and Suzuki, T., Evaluation of accuracy of ordinal classifications using item response theory, Proceedings of the 15th Asian Network for Quality Congress, C3, 45-56, 2017.09

Ono, Y., Yoshino, R., Hayashi, F. and Whitmann, J., A multiple correspondence analysis of the latent structure of features in linguistic typology (1): A statistical reanalysis of Tsunoda, Ueda, and Itoh (1995a), Mathematical Linguistics, 31(3), 189-204, 2017.12

Suzuki, R., Saito, M., Hayashi, Y., Saito, M., Yajima, T., Sano, N., Tanaka, M. and Suzuki, T., Statistical analysis of influenza propagation pattern using prescription data from Tochigi Prefecture, Total Quality Science, 3, 35-45, doi:10.17929/tqs.3.35, 2017.08

Tatsukawa, M. and Tanaka, M., Box constrained low-rank matrix approximation with missing values, Proceedings of the 7th International Conference on Operations Research and Enterprise Systems, 78-84, doi:10.5220/0006612100780084, 2018.01

Wu, S., Angelikopoulos, P., Papadimitriou, C. and Koumoutsakos, P., Bayesian annealed sequential importance sampling: an unbiased version of transitional Markov chain Monte Carlo, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 4(1), 011008, doi:10.1115/1.4037450, 2017.09

Hanasaki, N., Ito, A., Kinoshita, T., Murakami, D. and Zhou, Q., Estimating water-food-ecosystem trade-offs for the global negative emission scenario (IPCC-RCP2.6), Sustainability Science, doi:10.1007/s11625-017-0522-5, 2018.01

Yamagata, Y., Hanasaki, N., Ito, A., Kinoshita, T., Murakami, D. and Zhou, Q., Estimating water-food-ecosystem trade-offs for the global negative emission scenario (IPCC-RCP2.6), Sustainability Science, doi:10.1007/s11625-017-0522-5, 2018.01

Yamagata, Y., Murakami, D. and Yoshida, T., Urban carbon mapping with spatial BigData, Energy Procedia, 142, 2461-2466, doi:10.1016/j.egypro.2017.12.183, 2017.12

Yoshida, K., Iwasawa, T., Sano, N., Tanaka, M. and Suzuki, T., Construction of defect detection system for image data using machine learning and image processing, Total Quality Science, 3, 46-58, doi:10.17929/tqs.3.46, 2018.01

吉野 諒三, オープンサイエンスと協働が支える社会・人文学研究の新展開　社会データ構造化センター, 文部科学教育通信, 422, 20-21, 2017.10