Mon. May 27, 2024 1:45 PM - 3:00 PM 202 (International Conference Hall, Makuhari Messe)

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

[S-TT38] 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), 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)

Mon. May 27, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[S-TT38] 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 26, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[S-CG50] 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(Hokkaido University), Keisuke Yano(The Institute of Statistical Mathematics)

Mon. May 27, 2024 9:00 AM - 10:15 AM Convention Hall (CH-B) (International Conference Hall, Makuhari Messe)

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

[S-CG50] 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(Hokkaido University), Keisuke Yano(The Institute of Statistical Mathematics), Chairperson:Kazuki Ohtake(Earthquake Research Institute, The University of Tokyo), Keisuke Yano(The Institute of Statistical Mathematics), Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience)

Mon. May 27, 2024 10:45 AM - 12:00 PM Convention Hall (CH-B) (International Conference Hall, Makuhari Messe)

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

[S-CG50] 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(Hokkaido University), Keisuke Yano(The Institute of Statistical Mathematics), Chairperson:Yasunori Sawaki(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Makoto Naoi(Hokkaido University), Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency)

Mon. May 27, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

5:15 PM - 6:45 PM

[STT38-P02] Objective clustering of GNSS velocities based on parallel translation and Euler-vector estimation for the identification of crustal blocks

*Keisuke Yano¹, Atsushi Takahashi², Masayuki Kano³ (1.The Institute of Statistical Mathematics, 2.RIKEN, 3.Tohoku university)

Tue. May 28, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[S-CG40] Science of slow-to-fast earthquakes

5:15 PM - 6:45 PM

[SCG40-P10] Automatic slow slip signal detection based on machine learning of the GNSS displacement time series of southwest Japan

*Yusuke Tanaka¹, Masayuki Kano¹, Keisuke Yano² (1.Tohoku University, 2.The Institute of Statistical Mathematics)

5:15 PM - 6:45 PM

[SCG40-P11] Deep-leaning-based fault slip estimation method using GNSS displacements:
comparison with the least-squares-based method

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

Thu. May 30, 2024 3:30 PM - 5:00 PM 301B (International Conference Hall, Makuhari Messe)

[E] Oral
| B (Biogeosciences )
| B-PT Paleontology

[B-PT02] Biomineralization and Geochemistry of Proxies

3:45 PM - 4:00 PM

[BPT02-07] Nonthermal controls and seasonal biases in paleo-temperature proxies

*Yoshimi Kubota¹, Jun'ichi Okuno², Keisuke Yano³, Tsubasa Kohyama⁴, Sze Ling Ho⁵ (1.National Museum of Nature and Science, 2.National Institute of Polar Research, 3.The Institute of Statistical Mathematics, 4.Department of Information Sciences, Ochanomizu University, 5.Institute of Oceanography, National Taiwan University)

Wed. May 29, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

[J] Poster
| M (Multidisciplinary and Interdisciplinary)
| M-TT Technology & Techniques

[M-TT37] New Frontier of Earth Science pioneered by Dense GNSS Observation Networks

5:15 PM - 6:45 PM

[MTT37-P07] Noise characteristics in GNSS time series based on robust spectral analysis: (1) Description of robust spectral estimation

*Keisuke Yano¹, Masayuki Kano², Tetsuya Takabatake³, Yusuke Tanaka², Yusaku Ohta² (1.The Institute of Statistical Mathematics, 2.Tohoku University, 3.Hiroshima University)

5:15 PM - 6:45 PM

[MTT37-P08] Noise characteristics in GNSS time series based on robust spectral analysis: (2) application to GEONET F5 solution

*Masayuki Kano¹, Keisuke Yano², Yusuke Tanaka¹, Tetsuya Takabatake³, Yusaku Ohta¹ (1.Graduate school of science, Tohoku University, 2.Institute of Statistical Mathematics, 3.Hiroshima University)

Keisuke Yano

Convener, Chairperson

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[S-CG50] Driving Solid Earth Science through Machine Learning

[S-CG50] Driving Solid Earth Science through Machine Learning

[S-CG50] Driving Solid Earth Science through Machine Learning

Speaker, Author, Co-Author

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[STT38-P02] Objective clustering of GNSS velocities based on parallel translation and Euler-vector estimation for the identification of crustal blocks

[S-CG40] Science of slow-to-fast earthquakes

[SCG40-P10] Automatic slow slip signal detection based on machine learning of the GNSS displacement time series of southwest Japan

[SCG40-P11] Deep-leaning-based fault slip estimation method using GNSS displacements:
comparison with the least-squares-based method

[B-PT02] Biomineralization and Geochemistry of Proxies

[BPT02-07] Nonthermal controls and seasonal biases in paleo-temperature proxies

[M-TT37] New Frontier of Earth Science pioneered by Dense GNSS Observation Networks

[MTT37-P07] Noise characteristics in GNSS time series based on robust spectral analysis: (1) Description of robust spectral estimation

[MTT37-P08] Noise characteristics in GNSS time series based on robust spectral analysis: (2) application to GEONET F5 solution