FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2315200571> ?p ?o ?g. }

• W2315200571 endingPage "994" @default.
• W2315200571 startingPage "985" @default.
• W2315200571 abstract "Research Article| March 25, 2014 Parameter Estimation in the ETAS Model: Approximations and Novel Methods E. Lippiello; E. Lippiello aDepartment of Mathematics and Physics, Second University of Naples, Caserta, Italy Search for other works by this author on: GSW Google Scholar F. Giacco; F. Giacco aDepartment of Mathematics and Physics, Second University of Naples, Caserta, Italy Search for other works by this author on: GSW Google Scholar L. de Arcangelis; L. de Arcangelis bDepartment of Industrial and Information Engineering and CNISM, Second University of Naples, Aversa (CE), Italy Search for other works by this author on: GSW Google Scholar W. Marzocchi; W. Marzocchi cIstituto Nazionale di Geofisica e Vulcanologia, sezione di Roma 1, Via di Vigna Murata, 605, 00143 Rome, Italy Search for other works by this author on: GSW Google Scholar C. Godano C. Godano aDepartment of Mathematics and Physics, Second University of Naples, Caserta, Italy Search for other works by this author on: GSW Google Scholar Author and Article Information E. Lippiello aDepartment of Mathematics and Physics, Second University of Naples, Caserta, Italy F. Giacco aDepartment of Mathematics and Physics, Second University of Naples, Caserta, Italy L. de Arcangelis bDepartment of Industrial and Information Engineering and CNISM, Second University of Naples, Aversa (CE), Italy W. Marzocchi cIstituto Nazionale di Geofisica e Vulcanologia, sezione di Roma 1, Via di Vigna Murata, 605, 00143 Rome, Italy C. Godano aDepartment of Mathematics and Physics, Second University of Naples, Caserta, Italy Publisher: Seismological Society of America First Online: 14 Jul 2017 Online ISSN: 1943-3573 Print ISSN: 0037-1106 Bulletin of the Seismological Society of America (2014) 104 (2): 985–994. https://doi.org/10.1785/0120130148 Article history First Online: 14 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation E. Lippiello, F. Giacco, L. de Arcangelis, W. Marzocchi, C. Godano; Parameter Estimation in the ETAS Model: Approximations and Novel Methods. Bulletin of the Seismological Society of America 2014;; 104 (2): 985–994. doi: https://doi.org/10.1785/0120130148 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of the Seismological Society of America Search Advanced Search Abstract Branching processes provide an accurate description of earthquake occurrence in the short term (days to a few weeks). Yet, the implementation of these models is not usually straightforward because of the difficulties in estimating the parameters. Indeed, log‐likelihood estimation involves a spatial integral that cannot be analytically evaluated and is difficult to implement in numerical codes. Here we present a novel technique that allows for an accurate, stable, and relatively fast parameter inversion procedure. We study the efficiency of this technique using synthetic epidemic‐type aftershock sequence catalogs with a set of parameters known a priori. Results show the efficiency of the novel technique and illustrate the limits of recently proposed approximations. You do not have access to this content, please speak to your institutional administrator if you feel you should have access." @default.
• W2315200571 created "2016-06-24" @default.
• W2315200571 creator A5023930739 @default.
• W2315200571 creator A5029356923 @default.
• W2315200571 creator A5065235257 @default.
• W2315200571 creator A5079981804 @default.
• W2315200571 creator A5084775171 @default.
• W2315200571 date "2014-03-25" @default.
• W2315200571 modified "2023-10-16" @default.
• W2315200571 title "Parameter Estimation in the ETAS Model: Approximations and Novel Methods" @default.
• W2315200571 cites W1480041858 @default.
• W2315200571 cites W153715311 @default.
• W2315200571 cites W1546652107 @default.
• W2315200571 cites W1580131890 @default.
• W2315200571 cites W1602821225 @default.
• W2315200571 cites W1632569734 @default.
• W2315200571 cites W1660355377 @default.
• W2315200571 cites W1904429860 @default.
• W2315200571 cites W1972278418 @default.
• W2315200571 cites W1972754097 @default.
• W2315200571 cites W1977344673 @default.
• W2315200571 cites W1980110121 @default.
• W2315200571 cites W1995233312 @default.
• W2315200571 cites W1999735946 @default.
• W2315200571 cites W2007839873 @default.
• W2315200571 cites W2016361115 @default.
• W2315200571 cites W2026701305 @default.
• W2315200571 cites W2026871918 @default.
• W2315200571 cites W2028944227 @default.
• W2315200571 cites W2038850033 @default.
• W2315200571 cites W2043919383 @default.
• W2315200571 cites W2045878033 @default.
• W2315200571 cites W2048744757 @default.
• W2315200571 cites W2064758233 @default.
• W2315200571 cites W2068365976 @default.
• W2315200571 cites W2076072287 @default.
• W2315200571 cites W2078721389 @default.
• W2315200571 cites W2090248608 @default.
• W2315200571 cites W2091473165 @default.
• W2315200571 cites W2117796995 @default.
• W2315200571 cites W2121423048 @default.
• W2315200571 cites W2124740263 @default.
• W2315200571 cites W2136415973 @default.
• W2315200571 cites W2152559835 @default.
• W2315200571 cites W2154643661 @default.
• W2315200571 cites W2162335478 @default.
• W2315200571 cites W2328566622 @default.
• W2315200571 cites W2525528836 @default.
• W2315200571 cites W2904888352 @default.
• W2315200571 cites W94260413 @default.
• W2315200571 doi "https://doi.org/10.1785/0120130148" @default.
• W2315200571 hasPublicationYear "2014" @default.
• W2315200571 type Work @default.
• W2315200571 sameAs 2315200571 @default.
• W2315200571 citedByCount "21" @default.
• W2315200571 countsByYear W23152005712015 @default.
• W2315200571 countsByYear W23152005712016 @default.
• W2315200571 countsByYear W23152005712017 @default.
• W2315200571 countsByYear W23152005712018 @default.
• W2315200571 countsByYear W23152005712020 @default.
• W2315200571 countsByYear W23152005712021 @default.
• W2315200571 countsByYear W23152005712022 @default.
• W2315200571 countsByYear W23152005712023 @default.
• W2315200571 crossrefType "journal-article" @default.
• W2315200571 hasAuthorship W2315200571A5023930739 @default.
• W2315200571 hasAuthorship W2315200571A5029356923 @default.
• W2315200571 hasAuthorship W2315200571A5065235257 @default.
• W2315200571 hasAuthorship W2315200571A5079981804 @default.
• W2315200571 hasAuthorship W2315200571A5084775171 @default.
• W2315200571 hasConcept C11413529 @default.
• W2315200571 hasConcept C142362112 @default.
• W2315200571 hasConcept C15708023 @default.
• W2315200571 hasConcept C161191863 @default.
• W2315200571 hasConcept C33923547 @default.
• W2315200571 hasConcept C41008148 @default.
• W2315200571 hasConceptScore W2315200571C11413529 @default.
• W2315200571 hasConceptScore W2315200571C142362112 @default.
• W2315200571 hasConceptScore W2315200571C15708023 @default.
• W2315200571 hasConceptScore W2315200571C161191863 @default.
• W2315200571 hasConceptScore W2315200571C33923547 @default.
• W2315200571 hasConceptScore W2315200571C41008148 @default.
• W2315200571 hasIssue "2" @default.
• W2315200571 hasLocation W23152005711 @default.
• W2315200571 hasOpenAccess W2315200571 @default.
• W2315200571 hasPrimaryLocation W23152005711 @default.
• W2315200571 hasRelatedWork W1979597421 @default.
• W2315200571 hasRelatedWork W2007980826 @default.
• W2315200571 hasRelatedWork W2061531152 @default.
• W2315200571 hasRelatedWork W2077600819 @default.
• W2315200571 hasRelatedWork W2386767533 @default.
• W2315200571 hasRelatedWork W2748952813 @default.
• W2315200571 hasRelatedWork W2899084033 @default.
• W2315200571 hasRelatedWork W3002753104 @default.
• W2315200571 hasRelatedWork W4225152035 @default.
• W2315200571 hasRelatedWork W4245490552 @default.
• W2315200571 hasVolume "104" @default.
• W2315200571 isParatext "false" @default.
• W2315200571 isRetracted "false" @default.

• next