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J-GLOBAL ID:201401008014887856   Update date: Oct. 03, 2024

ZHUANG Jiancang

ジュアン ジャンカン | ZHUANG Jiancang
Affiliation and department:
Homepage URL  (2): http://kaken.nii.ac.jp/d/r/70465920.ja.htmlhttp://bemlar.ism.ac.jp/zhuang/
Research field  (2): Solid earth science ,  Statistical science
Research keywords  (9): point process ,  statistical seismology ,  probability forecasting ,  Hawkes process ,  forecasting evaluation ,  Bayesian method ,  Neyman-Scott過程 ,  ETAS model ,  Geohphysical inversion
Research theme for competitive and other funds  (14):
  • 2023 - 2026 Development of Statistical Inference of Generalized Hawkes process Including the Missing Problem
  • 2021 - 2026 New developments in space-time earthquake forecasting and monitoring: from long-term to real-time
  • 2019 - 2022 ホークス型点過程の多様な応用に向けた統計的モデリング・推論と応用の総合的研究
  • 2014 - 2017 Study on comprehensive probability forecast of large earthquake
  • 2014 - 2017 固体地球科学に資する次世代型データ同化法の創出
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Papers (148):
  • Zhengya Si, Jiancang Zhuang, Stefania Gentili, Changsheng Jiang, Weitao Wang. A Bayesian Merging of Earthquake Magnitudes Determined by Multiple Seismic Networks. Seismological Research Letters. 2024
  • Yicun Guo, Jiancang Zhuang, Huai Zhang. Statistical modeling of 3D seismicity and its correlation with fault slips along major faults in California. Earth and Planetary Science Letters. 2024. 638. 118747
  • Giuseppe Petrillo, Takao Kumazawa, Ferdinando Napolitano, Paolo Capuano, Jiancang Zhuang. Fluids-Triggered Swarm Sequence Supported by a Nonstationary Epidemic-Like Description of Seismicity. Seismological Research Letters. 2024
  • Yue Liu, Jiancang Zhuang, Yicun Guo, Changsheng Jiang, Qinjian Tian, Yongxian Zhang, Feng Long. Background and clustering characteristics of recent seismicity in Southwestern China. Geophysical Journal International. 2024. 238. 3. 1291-1313
  • Xun Shen, Jiancang Zhuang. Residual Analysis-Based Model Improvement for State Space Models With Nonlinear Responses. IEEE Transactions on Emerging Topics in Computational Intelligence. 2024. 8. 2. 1728-1743
more...
MISC (6):
  • Statistical Models for Earthquake Clustering and Declustering. 2009. 57. 1. 179-193
  • WS Kendall, E Renshaw, A Lawson, J Mateu, F Saura, EF Harding, D Stoyan, JC Zhuang, J Besag, P Diggle, et al. Residual analysis for spatial point processes - Discussion. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY. 2005. 67. 651-666
  • ZHUANG Jiancang, OGATA Yosihiko. Stochastic reconstruction of characteristics associated with earthquake clusters. 2003. 71. 527-528
  • Ogata. E-2 Stochastic Reconstruction of Characteristics Associated with Earthquake Clusters(Summary of the Reports at the 71th Annual Meeting) :. 2003. 33. 3. 419-419
  • Vere-Jones David. B-5 Statistical confirmation of a relationship between precursors and earthquakes :. 2002. 32. 3. 380-380
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Books (6):
  • Statistical Seismology
    2022
  • Explaining foreshock and the Båth law using a generic earthquake clustering model
    2021
  • Multiple Linear Regression Analyses on the Relationships among Magnitude, Rupture Length, Rupture Width, Rupture Area, and Surface Displacement
    2016
  • Multiple Linear Regression Analyses on the Relationships among Magnitude, Rupture Length, Rupture Width, Rupture Area, and Surface Displacement
    2016
  • Stochastic simulation of earthquake catalogues
    2015
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Lectures and oral presentations  (155):
  • Cluster identification and fluid migration: the case of the 2018 Molise (Italy) sequence
    (39th General Assembly (GA) of the European Seismological Commission (ESC2024) 2024)
  • NESTORE Machine Learning Algorithm applied to forecast Strong Subsequent Earthquakes in Japan
    (39th General Assembly (GA) of the European Seismological Commission (ESC2024) 2024)
  • Bayesian non-parametric inference for the ETAS model
    (Japan Geoscience Union Meeting 2024 2024)
  • The ETAS model can explain both foreshock and the Båth Law
    (Japan Geoscience Union Meeting 2024 2024)
  • Magnitude correlation in earthquake triggering: Artifact or reality?
    (13th International Workshop on Statistical Seismology(StatSei13) 2024)
more...
Work history (2):
  • 2023/04 - 現在 The Institute of Statistical Mathematics
  • 2012/04 - 2023/03 The Institute of Statistical Mathematics
Committee career (8):
  • 2023 - 2024 米国地震学会 学会誌編集委員
  • 2022 - 2023 米国地震学会 学会誌編集委員
  • 2022 - 2023 The 12th International Workshop on Statistical Seismology (Statsei 12) Organizer
  • 2021 - 2022 米国地震学会 学会誌編集委員
  • 2020 - 2021 AISM 編集委員
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Awards (1):
  • 2017/12 - Geophysical Journal International "Geophysical Journal International" Outstanding reviewers 2017 庄 建倉
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