{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1360004229802538752.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1002/2014jb011456"}},{"identifier":{"@type":"URI","@value":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2F2014JB011456"}},{"identifier":{"@type":"URI","@value":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2014JB011456"}}],"resourceType":"学術雑誌論文(journal article)","dc:title":[{"@value":"Intermediate‐term forecasting of aftershocks from an early aftershock sequence: Bayesian and ensemble forecasting approaches"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title><jats:p>Because aftershock occurrences can cause significant seismic risks for a considerable time after the main shock, prospective forecasting of the intermediate‐term aftershock activity as soon as possible is important. The epidemic‐type aftershock sequence (ETAS) model with the maximum likelihood estimate effectively reproduces general aftershock activity including secondary or higher‐order aftershocks and can be employed for the forecasting. However, because we cannot always expect the accurate parameter estimation from incomplete early aftershock data where many events are missing, such forecasting using only a single estimated parameter set (plug‐in forecasting) can frequently perform poorly. Therefore, we here propose Bayesian forecasting that combines the forecasts by the ETAS model with various probable parameter sets given the data. By conducting forecasting tests of 1 month period aftershocks based on the first 1 day data after the main shock as an example of the early intermediate‐term forecasting, we show that the Bayesian forecasting performs better than the plug‐in forecasting on average in terms of the log‐likelihood score. Furthermore, to improve forecasting of large aftershocks, we apply a nonparametric (NP) model using magnitude data during the learning period and compare its forecasting performance with that of the Gutenberg‐Richter (G‐R) formula. We show that the NP forecast performs better than the G‐R formula in some cases but worse in other cases. Therefore, robust forecasting can be obtained by employing an ensemble forecast that combines the two complementary forecasts. Our proposed method is useful for a stable unbiased intermediate‐term assessment of aftershock probabilities.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380004229802538883","@type":"Researcher","foaf:name":[{"@value":"Takahiro Omi"}],"jpcoar:affiliationName":[{"@value":"Institute of Industrial Science University of Tokyo  Tokyo Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1420001326212305024","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"70000213"},{"@type":"NRID","@value":"1000070000213"},{"@type":"NRID","@value":"9000347493073"},{"@type":"NRID","@value":"9000347492926"},{"@type":"NRID","@value":"9000408497290"},{"@type":"NRID","@value":"9000009488951"},{"@type":"NRID","@value":"9000009488883"},{"@type":"NRID","@value":"9000009490603"},{"@type":"NRID","@value":"9000009490282"},{"@type":"NRID","@value":"9000004447820"},{"@type":"NRID","@value":"9000403713502"},{"@type":"NRID","@value":"9000347493097"},{"@type":"NRID","@value":"9000018657141"},{"@type":"NRID","@value":"9000318578078"},{"@type":"NRID","@value":"9000318578077"},{"@type":"NRID","@value":"9000022871353"},{"@type":"NRID","@value":"9000404633343"},{"@type":"NRID","@value":"9000009488829"},{"@type":"NRID","@value":"9000347493014"},{"@type":"NRID","@value":"9000347492798"},{"@type":"NRID","@value":"9000347493288"},{"@type":"NRID","@value":"9000347079060"},{"@type":"NRID","@value":"9000398819762"},{"@type":"NRID","@value":"9000018751757"},{"@type":"NRID","@value":"9000021564698"},{"@type":"NRID","@value":"9000404633341"},{"@type":"NRID","@value":"9000008445178"},{"@type":"NRID","@value":"9000241880016"},{"@type":"NRID","@value":"9000015344194"},{"@type":"NRID","@value":"9000347492690"},{"@type":"NRID","@value":"9000347492827"},{"@type":"NRID","@value":"9000347493277"},{"@type":"NRID","@value":"9000022871349"},{"@type":"NRID","@value":"9000022871341"},{"@type":"NRID","@value":"9000253306136"},{"@type":"NRID","@value":"9000410904411"},{"@type":"NRID","@value":"9000006546657"},{"@type":"NRID","@value":"9000347492638"},{"@type":"NRID","@value":"9000347493988"},{"@type":"NRID","@value":"9000403033103"},{"@type":"NRID","@value":"9000415422453"},{"@type":"NRID","@value":"9000009489450"},{"@type":"NRID","@value":"9000009489148"},{"@type":"NRID","@value":"9000254270904"},{"@type":"NRID","@value":"9000347493190"},{"@type":"NRID","@value":"9000347493360"},{"@type":"NRID","@value":"9000009489793"},{"@type":"NRID","@value":"9000347492533"},{"@type":"NRID","@value":"9000347492340"},{"@type":"NRID","@value":"9000253306258"},{"@type":"NRID","@value":"9000415226737"},{"@type":"NRID","@value":"9000014641046"},{"@type":"NRID","@value":"9000391406908"},{"@type":"NRID","@value":"9000391405270"},{"@type":"NRID","@value":"9000009489756"},{"@type":"NRID","@value":"9000404633340"},{"@type":"NRID","@value":"9000347492621"},{"@type":"NRID","@value":"9000347492535"},{"@type":"NRID","@value":"9000254753536"},{"@type":"NRID","@value":"9000252122720"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/ogata-yosi"}],"foaf:name":[{"@value":"Yosihiko Ogata"}],"jpcoar:affiliationName":[{"@value":"Institute of Statistical Mathematics Research Organization of Information and Systems  Tachikawa Japan"},{"@value":"Earthquake Research Institute University of Tokyo  Tokyo Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1380004229802538752","@type":"Researcher","foaf:name":[{"@value":"Yoshito Hirata"}],"jpcoar:affiliationName":[{"@value":"Institute of Industrial Science University of Tokyo  Tokyo Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1380004229802538891","@type":"Researcher","foaf:name":[{"@value":"Kazuyuki Aihara"}],"jpcoar:affiliationName":[{"@value":"Institute of Industrial Science University of Tokyo  Tokyo Japan"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"21699313"},{"@type":"EISSN","@value":"21699356"}],"prism:publicationName":[{"@value":"Journal of Geophysical Research: Solid Earth"}],"dc:publisher":[{"@value":"American Geophysical Union (AGU)"}],"prism:publicationDate":"2015-04","prism:volume":"120","prism:number":"4","prism:startingPage":"2561","prism:endingPage":"2578"},"reviewed":"false","dc:rights":["http://onlinelibrary.wiley.com/termsAndConditions#vor"],"url":[{"@id":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2F2014JB011456"},{"@id":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2014JB011456"}],"createdAt":"2015-03-19","modifiedAt":"2023-09-16","project":[{"@id":"https://cir.nii.ac.jp/crid/1040282257257510528","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"26240004"},{"@type":"JGN","@value":"JP26240004"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-26240004/"}],"notation":[{"@language":"ja","@value":"リアルタイム地震確率短期予測の実践と大地震の中期予測の実用化の研究"},{"@language":"en","@value":"Study on comprehensive probability forecast of large earthquake"}]},{"@id":"https://cir.nii.ac.jp/crid/1040282257415079680","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"13J09620"},{"@type":"JGN","@value":"JP13J09620"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-13J09620/"}],"notation":[{"@language":"ja","@value":"地震発生パターンの変化をとらえる統計モデルの構築"}]}],"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050577972975048832","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Development of an Epidemic‐type Aftershock‐sequence Model Explicitly Incorporating the Seismicity‐triggering Effects of Slow Slip Events"},{"@value":"Development of an epidemic-type aftershock-sequence model explicitly incorporating the seismicity-triggering effects of slow slip events"}]},{"@id":"https://cir.nii.ac.jp/crid/1360002216708392064","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Bayesian forecasting of recurrent earthquakes and predictive performance for a small sample size"}]},{"@id":"https://cir.nii.ac.jp/crid/1360004238190854784","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"The Collaboratory for the Study of Earthquake Predictability: Achievements and Priorities"}]},{"@id":"https://cir.nii.ac.jp/crid/1360009142694787456","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression"}]},{"@id":"https://cir.nii.ac.jp/crid/1360011143490651776","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Earthquake forecasting based on data assimilation: sequential Monte Carlo methods for renewal point processes"}]},{"@id":"https://cir.nii.ac.jp/crid/1360011145861805568","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Representation and Analysis of the Earthquake Size Distribution: A Historical Review and Some New Approaches"}]},{"@id":"https://cir.nii.ac.jp/crid/1360025429443508992","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Bayesian earthquake forecasting approach based on the epidemic type aftershock sequence model"}]},{"@id":"https://cir.nii.ac.jp/crid/1360025430664496000","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Aftershock forecasts based on incomplete earthquake catalogues: ETASI model application to the 2023 SE Türkiye earthquake sequence"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285704777280384","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Estimating the ETAS model from an early aftershock sequence"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285708259870720","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Immediate and updated forecasting of aftershock hazard"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285710546412672","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Predictability study on the aftershock sequence following the 2011 Tohoku-Oki, Japan, earthquake: first results"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285713167322112","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Comprehensive and Topical Evaluations of Earthquake Forecasts in Terms of Number, Time, Space, and Magnitude"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285713167572992","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Implementation of a Real‐Time System for Automatic Aftershock Forecasting in Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1360292619928457472","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Estimation of Space–Time Branching Process Models in Seismology Using an EM–Type Algorithm"}]},{"@id":"https://cir.nii.ac.jp/crid/1360292620796304256","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Migration of early aftershocks following the 2004 Parkfield earthquake"}]},{"@id":"https://cir.nii.ac.jp/crid/1360567184984493184","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Properties of the probability distribution associated with the largest event in an earthquake cluster and their implications to foreshocks"}]},{"@id":"https://cir.nii.ac.jp/crid/1360574093672503680","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Standard Errors of Parameter Estimates in the ETAS Model"}]},{"@id":"https://cir.nii.ac.jp/crid/1360574094080573440","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Low detection capability of global earthquakes after the occurrence of large earthquakes: investigation of the Harvard CMT catalogue"}]},{"@id":"https://cir.nii.ac.jp/crid/1360574094561220224","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"On Lewis' simulation method for point processes"}]},{"@id":"https://cir.nii.ac.jp/crid/1360576118701010944","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Early Forecast of Maximum Amplitude due to Aftershocks by Applying Extreme Value Statistics to a Single Continuous Seismogram"}]},{"@id":"https://cir.nii.ac.jp/crid/1360588379367501824","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Integration of extreme value statistics and Bayesian estimation for early forecasting of aftershock shaking: application to main shock–aftershock sequences in inland Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1360846641785240704","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Forecasting large aftershocks within one day after the main shock"}]},{"@id":"https://cir.nii.ac.jp/crid/1360848661227083136","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Statistics of Earthquake Activity: Models and Methods for Earthquake Predictability Studies"}]},{"@id":"https://cir.nii.ac.jp/crid/1360855569262503936","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Analysis of temporal and spatial heterogeneity of magnitude frequency distribution inferred from earthquake catalogues"}]},{"@id":"https://cir.nii.ac.jp/crid/1361137043990884096","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Bayesian Forecast Evaluation and Ensemble Earthquake Forecasting"}]},{"@id":"https://cir.nii.ac.jp/crid/1361137044742210048","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Global survey of aftershock area expansion patterns"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418518480043392","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Real-time forecasts of tomorrow's earthquakes in California"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418518652650368","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Statistical relations between the parameters of aftershocks in time, space, and magnitude"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418518790007808","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Increased probability of large earthquakes near aftershock regions with relative quiescence"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418519585466496","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Constraints on the size of the smallest triggering earthquake from the epidemic‐type aftershock sequence model, Båth's law, and observed aftershock sequences"}]},{"@id":"https://cir.nii.ac.jp/crid/1361699994951346432","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Real‐time forecasting following a damaging earthquake"}]},{"@id":"https://cir.nii.ac.jp/crid/1361981470789426560","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Statistical Modeling of the 1997-1998 Colfiorito Earthquake Sequence: Locating a Stationary Solution within Parameter Uncertainty"}]},{"@id":"https://cir.nii.ac.jp/crid/1362262944388557824","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"On the estimation of seismic detection thresholds"}]},{"@id":"https://cir.nii.ac.jp/crid/1362544418389995008","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Regional Earthquake Likelihood Models II: Information Gains of Multiplicative Hybrids"}]},{"@id":"https://cir.nii.ac.jp/crid/1362544419630532864","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Frequency of earthquakes in California*"}]},{"@id":"https://cir.nii.ac.jp/crid/1362825894016801664","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Likelihood and the Bayes procedure"}]},{"@id":"https://cir.nii.ac.jp/crid/1362825895101685760","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Earthquake Hazard After a Mainshock in California"}]},{"@id":"https://cir.nii.ac.jp/crid/1362825896364965376","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"A new look at the Bayes procedure"}]},{"@id":"https://cir.nii.ac.jp/crid/1363107369516220032","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Adaptive Smoothing of Seismicity in Time, Space, and Magnitude for Time-Dependent Earthquake Forecasts for California"}]},{"@id":"https://cir.nii.ac.jp/crid/1363107371370986880","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Short-Term Properties of Earthquake Catalogs and Models of Earthquake Source"}]},{"@id":"https://cir.nii.ac.jp/crid/1363388845170625024","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Statistical Models for Earthquake Occurrences and Residual Analysis for Point Processes"}]},{"@id":"https://cir.nii.ac.jp/crid/1363388846286684032","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"On the Likelihood of a Time Series Model"}]},{"@id":"https://cir.nii.ac.jp/crid/1363670320717748608","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Comparison of Short-Term and Time-Independent Earthquake Forecast Models for Southern California"}]},{"@id":"https://cir.nii.ac.jp/crid/1363951794413877376","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"A retrospective comparative forecast test on the 1992 Landers sequence"}]},{"@id":"https://cir.nii.ac.jp/crid/1363951794462161664","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Subcritical and supercritical regimes in epidemic models of earthquake aftershocks"}]},{"@id":"https://cir.nii.ac.jp/crid/1363951794930283520","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Estimating the hazard of rupture using uncertain occurrence times of paleoearthquakes"}]},{"@id":"https://cir.nii.ac.jp/crid/1364233269298545280","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Magnitude uncertainties impact seismic rate estimates, forecasts, and predictability experiments"}]},{"@id":"https://cir.nii.ac.jp/crid/1364233269943288704","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Space-Time Point-Process Models for Earthquake Occurrences"}]},{"@id":"https://cir.nii.ac.jp/crid/1364233271126265088","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Testing for ontological errors in probabilistic forecasting models of natural systems"}]},{"@id":"https://cir.nii.ac.jp/crid/1370004229802538754","@type":"Product","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Seismic activity in and around Kanto and Chubu Districts (May 2007 to April 2008)"}]},{"@id":"https://cir.nii.ac.jp/crid/1370016862851578496","@type":"Product","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"The Iwate‐Miyagi Nairiku Earthquake in 2008"}]},{"@id":"https://cir.nii.ac.jp/crid/1370016862851578498","@type":"Product","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Retrospective evaluation of the five‐year and ten‐year CSEP‐Italy earthquake forecasts"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282681485933824","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Estimation of the parameters in the modified omori formula for aftershock frequencies by the maximum likelihood procedure."}]},{"@id":"https://cir.nii.ac.jp/crid/1390282681486285824","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Sequential Occurrences of Recent Great Earthquakes"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282681486843264","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"The Centenary of the Omori Formula for a Decay Law of Aftershock Activity."},{"@value":"The centenary of the Omori formula for a decay of aftershock activity"}]},{"@id":"https://cir.nii.ac.jp/crid/1522262180635314944","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"A statistical study on the occurrence of aftershocks"},{"@language":"ja-Kana","@value":"A statistical study on the occurrence of aftershocks"}]},{"@id":"https://cir.nii.ac.jp/crid/1570572699166596096","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Some features of recent seismic activity in and near Japan, 2. Activity before and after great earthquakes"},{"@value":"Some feature of recent seismic activity in and near Japan, (2) activity before and after great earthquakes"}]},{"@id":"https://cir.nii.ac.jp/crid/1572824498983602944","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"On the after-shocks of earthquake"},{"@value":"On aftershocks of earthquakes"},{"@value":"On the aftershocks of of earthquakes"},{"@value":"On after‐shocks of earthquakes"},{"@value":"On the aftershocks of earthquakes"},{"@value":"On the after‐shocks of earthquakes"}]},{"@id":"https://cir.nii.ac.jp/crid/1572824501595568768","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Space-time model for regional seismicity and detection of crustal stress changes"},{"@value":"Space‐time model for regional seismicity and detection of crustal stress changes"}]},{"@id":"https://cir.nii.ac.jp/crid/1574231874324012928","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Aftershocks and earthquake statistics (1) - Some parameters which characterize an aftershock sequence and their interrelations -"}]},{"@id":"https://cir.nii.ac.jp/crid/2050870367070973568","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"High-resolution 3D earthquake forecasting beneath the greater Tokyo area"}]},{"@id":"https://cir.nii.ac.jp/crid/2051433317076105728","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Statistical monitoring of aftershock sequences : a case study of the 2015 Mw7.8 Gorkha, Nepal, earthquake"}]},{"@id":"https://cir.nii.ac.jp/crid/2051714791867587968","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Data completeness of the Kumamoto earthquake sequence in the JMA catalog and its influence on the estimation of the ETAS parameters"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1002/2014jb011456"},{"@type":"KAKEN","@value":"PRODUCT-20425753"},{"@type":"KAKEN","@value":"PRODUCT-20486194"},{"@type":"KAKEN","@value":"PRODUCT-9516636"},{"@type":"OPENAIRE","@value":"doi_dedup___::ba1c07f85f3dc1d17e6826293c2a7e23"},{"@type":"CROSSREF","@value":"10.1186/s40623-017-0614-6_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1785/0220180053_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1093/gji/ggab124_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1186/s40623-024-02021-8_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1093/gji/ggae006_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1186/s40623-019-1086-7_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1186/s40623-016-0410-8_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1785/0120200365_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1029/2023jb026457_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1093/gji/ggaf109_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1146/annurev-earth-063016-015918_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"},{"@type":"CROSSREF","@value":"10.1785/0220180213_references_DOI_314fmh4JGGPw85NfdtBl02oE5GS"}]}