nkysdb: なかよし論文データベース
庄 建倉 様の 共著関連データベース
+(A list of literatures under single or joint authorship with "庄 建倉")
共著回数と共著者名 (a list of the joint author(s))
39: 庄 建倉
14: 尾形 良彦
2: DAVID D. Jackson, VERE-JONES David, 服部 克巳, 楠城 一嘉, 牛 源源, 王 墩, 統計数理研究所, 郭 一村, 韓 鵬
1: ANNEMARIE Christophersen, CONSOLE Rodolfo, DAVID Vare-Jones, ENESCU Bogdan, FALCONE G., FALCONE Giuseppe, MARTH K. Savage, MURRU M., MURRU Maura, Maita Eri, Schorlemmer Danijel, TARONI M., TARONI Matteo, ファルコン ジョセッペ, 司 政亜, 堀 高峰, 平田 直, 松浦 充宏, 桂 康一, 王 敏真, 馬 麗, 鶴岡 弘
発行年とタイトル (Title and year of the issue(s))
2000: A model based method alternative to declustering for estimating the background seismicity (C76)
2001: 異常現象データと地震発生の相関解析および複合危険度予測北京付近における日別地電位異常強度データ(1982 1997)を例として
Statistical examination of anomalies for the precursor to earthquakes, and the multi element prediction formula : Hazard rate changes of strong earthquakes (M> 7) around Beijing area based on the ultra low frequency ground electric observation (1982 1997)
2002: Statistical confirmation of a relationship between excitation of the electric signal and earthquakes in the Beijing region (S046 003)
2004: Stochastic reconstruction of clustering features of earthquakes (S047 006)
2005: A study on the discrimination of the foreshocks and other types of earthquakes by using stochastic reconstruction (C033)
2005: Analyzing foreshock features by using stochastic reconstruction (S045 006)
2007: Differences between spontaneous and triggered earthquakes(D32 09)
2007: Forecasting performance of the ETAS model in Japan and California: A comparison(P2 061)
2008: Detecting space time seismicity variation by using maximizing local likelihood and the ETAS model(S143 P013)
2009: A new scoring method for earthquake predictions and forecasts (D22 02)
2009: Gambler's scores for earthquake prediction(S220 005)
2010: 大地震予測の評価のための相場確率(P3 61)(ポスターセッション)(演旨)
A reference framework for evaluating significance of earthquake predictions (P3 61)
2011: 日本の地殻内応力状態の推定を目指して(C21 01)
Toward better estimation of crustal stress condition in Japan: A brief introduction (C21 01)
2011: 警報型地震予測の性能評価法について
Evaluationof warning forecasts by a gambling score
2012: Testing significance of earthquake precursors against earthquake clustering models (A31 01)
2012: 地震の確率予測における頻度・時間・空間・マグニチュードの総合及び各因子の評価(SSS01 15)
Comprehensive and topical evaluations of earthquake forecasts in number, time, space and magnitude(SSS01 15)
2014: Determining the actual nodal plane and analyzing the correlation between earthquake sizes and rake angles (S09 P16)
2014: Similarities between Vere Jones' branching crack model and earthquake source process (A32 01)
2015: 地震予測の評価法について
Evaluation Methods of Earthquake Forecasts
2016: Data completeness of the Kumamoto sequence in the JMA catalog and its influence to estimation of ETAS parameters (S21 12)
2017: An extensive study of clustering features of seismicity in Italy during 2005 to 2016 (S09 18)
2017: An extensive study of clustering features of seismicity in Italy during 2005 to 2016 (SSS05 06)
2017: Assessing the potential earthquake precursory information in ULF magnetic data recorded in Kanto, Japan during 2000–2010 (MIS04 04)
2017: Earthquake modeling incorporating non seismic data (SSS05 03)
2018: 震源機構を組み込んだETASモデルの拡張(SSS03 10)
Incorporating focal mechanisms into the ETAS model (SSS03 10)
2019: CSEP Japanの結果と今後に向けて(SSS07 04)
CSEP Japan results and future developments (SSS07 04)
2019: Distributions of focal mechanisms in background seismicity and earthquake clusters in Japan (SSS07 P08)
2020: The character of the Focal mechanisms with Kagan angles in Japan area for the extended 2 D ETAS model (SSS09 P08)
2020: 震源機構を組み込んたETASモデル(S14 04)
Incorporating focal mechanisms into the ETAS model (S14 04)
2021: Long term probability earthquake forecasts based on the ETAS model (S09 02)
2021: The research of spherical time space ETAS model (S23 11)
2021: 時空間ETASモデルの球面バージョン(SSS03 P01)
A spherical version of the space time ETAS model (SSS03 P01)
2022: Bayesian merging of earthquake catalogs from multiple sources (S23 08)
2022: Second order smoothness prior over the Delaunay Tessellation and its application to gravity Bayesian inversion (S03 06)
2022: The research and application of the spherical space time ETAS model (S09 01)
2022: 情報科学を活用した地震調査研究プロジェクト(STAR E プロジェクト)長期から即時までの時空間予測とモニタリング-統計数理研究所、京都大学防災研究所、静岡県立大学、県立広島大学-
2024: Bayesian non parametric inference for the ETAS model (STT38 05)
2024: ETASモデルは前震とBåth則の両方を説明できる(SSS08 02)
The ETAS model can explain both foreshock and the Båth Law (SSS08 02)
2024: 地震予測可能性の定量化およびエントロピーに基づく地震予測評価スコアの精緻化(S14 02)
Quantification of earthquake Predictability and detailing of entropy based scores for evaluating earthquake forecast (S14 02)