Sun. May 21, 2023 10:45 AM - 12:00 PM 301B (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-TT Technology & Techniques

[S-TT44] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

convener:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Aitaro Kato(Earthquake Research Institute, the University of Tokyo), Keisuke Yano(The Institute of Statistical Mathematics), Takahiro Shiina(National Institute of Advanced Industrial Science and Technology), Chairperson:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Keisuke Yano(The Institute of Statistical Mathematics), Aitaro Kato(Earthquake Research Institute, the University of Tokyo), Takahiro Shiina(National Institute of Advanced Industrial Science and Technology)

Mon. May 22, 2023 10:45 AM - 12:15 PM Online Poster Zoom Room (6) (Online Poster)

[J] Online Poster
| S (Solid Earth Sciences )
| S-TT Technology & Techniques

[S-TT44] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

convener:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Aitaro Kato(Earthquake Research Institute, the University of Tokyo), Keisuke Yano(The Institute of Statistical Mathematics), Takahiro Shiina(National Institute of Advanced Industrial Science and Technology)

Sun. May 21, 2023 10:45 AM - 12:15 PM 302 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG55] Driving Solid Earth Science through Machine Learning

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency), Makoto Naoi(Kyoto University), Keisuke Yano(The Institute of Statistical Mathematics), Chairperson:Yuta Amezawa(National Institute of Advanced Industrial Science and Technology), Kazuya Ishitsuka(Kyoto University)

Sun. May 21, 2023 1:45 PM - 3:00 PM 302 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG55] Driving Solid Earth Science through Machine Learning

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency), Makoto Naoi(Kyoto University), Keisuke Yano(The Institute of Statistical Mathematics), Chairperson:Ryoichiro Agata(Japan Agency for Marine-Earth Science and Technology), Keisuke Yano(The Institute of Statistical Mathematics)

Sun. May 21, 2023 3:30 PM - 4:45 PM 302 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG55] Driving Solid Earth Science through Machine Learning

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency), Makoto Naoi(Kyoto University), Keisuke Yano(The Institute of Statistical Mathematics), Chairperson:Ahyi KIM(Graduate School of Nanobioscience, Yokohama City University), Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience)

Mon. May 22, 2023 1:45 PM - 3:15 PM Online Poster Zoom Room (6) (Online Poster)

[J] Online Poster
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG55] Driving Solid Earth Science through Machine Learning

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency), Makoto Naoi(Kyoto University), Keisuke Yano(The Institute of Statistical Mathematics)

Mon. May 22, 2023 10:45 AM - 12:15 PM Online Poster Zoom Room (6) (Online Poster)

[J] Online Poster
| S (Solid Earth Sciences )
| S-TT Technology & Techniques

[S-TT44] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

10:45 AM - 12:15 PM

[STT44-P02] Minimum information dependence modeling for analyzing the dependence in mixed-domain data: Application to the analysis of the dependence between source depths and focal mechanisms

*Keisuke Yano¹, Tomonari Sei² (1.The Institute of Statistical Mathematics, 2.The University of Tokyo)

Sun. May 21, 2023 1:45 PM - 3:00 PM 302 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG55] Driving Solid Earth Science through Machine Learning

2:15 PM - 2:30 PM

[SCG55-08] Direct estimation of the fault slip of short-term slow slip events from GNSS data using deep learning

*Ryo Nakagawa¹, Yo Fukushima², Masayuki Kano¹, Keisuke Yano³, Kazuro Hirahara^4,5 (1.Graduate School of Science, Tohoku University, 2.International Research Institute of Disaster Science, Tohoku University, 3.Institute of Statistical Mathematics, 4.Riken, 5.Kagawa University)

Sun. May 21, 2023 9:00 AM - 10:15 AM 301B (International Conference Hall, Makuhari Messe)

[J] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI29] Data-driven geosciences

9:00 AM - 9:15 AM

[MGI29-01] Simultaneous estimation of the spatio-temporal evolution of fault slip and block motion in the southwest Japan subduction zone

*Yusuke Tanaka¹, Masayuki Kano¹, Takuya NISHIMURA², Keisuke Yano³ (1.Tohoku University, 2.Kyoto University, 3.The Institute of Statistical Mathematics)

Keisuke Yano

Convener, Chairperson

[S-TT44] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[S-TT44] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[S-CG55] Driving Solid Earth Science through Machine Learning

[S-CG55] Driving Solid Earth Science through Machine Learning

[S-CG55] Driving Solid Earth Science through Machine Learning

[S-CG55] Driving Solid Earth Science through Machine Learning

Speaker, Author, Co-Author

[S-TT44] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[STT44-P02] Minimum information dependence modeling for analyzing the dependence in mixed-domain data: Application to the analysis of the dependence between source depths and focal mechanisms

[S-CG55] Driving Solid Earth Science through Machine Learning

[SCG55-08] Direct estimation of the fault slip of short-term slow slip events from GNSS data using deep learning

[M-GI29] Data-driven geosciences

[MGI29-01] Simultaneous estimation of the spatio-temporal evolution of fault slip and block motion in the southwest Japan subduction zone