Publications
2024
Nakao, A., T. Kuwatani, S. Ito, and H. Nagao, Adjoint-based data assimilation for reconstruction of thermal convection in a highly viscous fluid from surface velocity and temperature snapshots, Geophys. J. Int., Vol. 236, Issue 1, Pages 379–394, doi:10.1093/gji/ggad417, 2024.
Tomoki, T. and H. Nagao, Wishart Mixture-based Multiple Clustering for Selecting Seismic Stations for Low-frequency Earthquake Detection, Ouyou toukeigaku,Vol.52 No.2, Pages 99-112, doi:10.5023/jappstat.52.99, 2024.
2023
Tokuda, T and H. Nagao, Seismic-phase detection using multiple deep learning models for global and local representations of waveforms, Geophys. J. Int., Vol. 235, Issue 2, Pages 1163–1182, 2023, doi:10.1093/gji/ggad270
Nakai, K., T. Nagata, K. Yamada, Y. Saito, T. Nonomura, M. Kano, S. Ito, and H. Nagao, Observation Site Selection for Physical Model Parameter Estimation toward Process-Driven Seismic Wavefield Reconstruction, Geophys. J. Int., Vol. 234, Issue 3, Pages 1786–1805, doi:10.1093/gji/ggad165, 2023.
Kaneko, R., H. Nagao, S. Ito, H. Tsuruoka, and K. Obara, Detection of Deep Low-Frequency Tremors from Continuous Paper Records at a Station in Southwest Japan About 50 Years Ago Based on Convolutional Neural Network, J. Geophys. Res. Solid Earth, Vol. 128, Issue 2, doi:10.1029/2022JB024842, 2023.
Ito S., M. Kano, and H. Nagao, Adjoint-based uncertainty quantification for inhomogeneous friction on a slow-slipping fault, Geophys. J. Int., Vol. 232, Issue 1, Pages 671–683, doi:10.1093/gji/ggac354, 2023.
2022
-
Hirose, K., and Y. Terada, Sparse and Simple Structure Estimation via Prenet Penalization, Psychometrika, doi:10.1007/s11336-022-09868-4, 2022.
2021
-
Kurihara, R., A. Kato, S. Kurata, and H. Nagao, Detection of low-frequency earthquakes by the matched filter technique using the product of mutual information and correlation coefficient, Earth Planets Space, Vol. 73, No. 225, 2021.
-
Matsumura, T., Y. Kuwayama, K. Ueki, T. Kuwatani, Y. Ando, K. Nagata, S. Ito, and H. Nagao, Bayesian modelling of the equation of state for liquid iron in Earth’s outer core, Journal of Geophysical Research - Solid Earth, Vol. 126, Iss. 12, 2021.
-
Morikawa, K. and J. K. Kim, Semiparametric optimal estimation with nonignorable nonresponse data, Annals of Statistics, 49, 2991-3014, 2021.
-
Kurihara, R. and K. Obara, Spatiotemporal Characteristics of Relocated Deep Low-Frequency Earthquakes Beneath 52 Volcanic Regions in Japan Over an Analysis Period of 14 Years and 9 Months, Journal of Geophysical Research: Solid Earth, Vol. 126, Iss. 10, 2021.
-
Tanaka, K., K. Morikawa et al., G20 Summit and emergency medical services in Osaka, Japan, Acute Medicine & Surgery, 8, e661, 2021.
-
Kaneko, R., H. Nagao, S. Ito, K. Obara, and H. Tsuruoka, Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images, Lecture Notes in Computer Science, Vol. 12705, pp. 31-43, 2021.
-
Sugasawa, S., K. Morikawa and K. Takahata, Bayesian Semiparametric Modeling of Response Mechanism for Nonignorable Missing Data, TEST, 2021.
-
Morikawa, K., H. Nagao, S. Ito, Y. Terada, S. Sakai, and N. Hirata, Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression, Geophysical Journal International, 226, 1018-1035, 2021.
-
Anzaki, R., S. Ito, H. Nagao, M. Mizumaki, M. Okada, and I. Akai, Phase prediction method for pattern formation in time-dependent Ginzburg-Landau dynamics for kinetic Ising model without a priori assumptions of domain patterns, Physical Review B, Vol. 103, Iss. 9, 094408, 2021.