Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/16017
DC Field | Value | Language |
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dc.date.accessioned | 2023-01-27T10:12:41Z | - |
dc.date.available | 2023-01-27T10:12:41Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://hdl.handle.net/2122/16017 | - |
dc.description.abstract | This work proposes a novel approach to the calibration of region- alized regression models, with particular reference to ground- motion models (GMMs), which are key for probabilistic seismic hazard analysis and earthquake engineering applications. A novel methodology, named multi-source geographically-weighted re- gression (MS-GWR), is developed, allowing one to (i) estimate regionalized regression models depending on multiple sources of non-stationarity (such as site- and event-dependent non- stationarities in GMMs), and (ii) make inference on the sig- nificance and stationarity of the regression coefficients. Unlike previous approaches to the problem, the proposed framework is non-parametric – in the sense of the distribution of the errors – the inference being based on a permutation scheme. MS-GWR is here used to calibrate a new regionalized ground-motion model for predicting peak ground acceleration in Italy, based on a large scale database of waveforms and metadata made available by the Italian Institute for Geophysics and Vulcanology (INGV). | en_US |
dc.language.iso | English | en_US |
dc.publisher.name | Elsevier | en_US |
dc.relation.ispartof | Spatial Statistics | en_US |
dc.relation.ispartofseries | /47 (2022) | en_US |
dc.title | Multi-source geographically weighted regression for regionalized ground-motion models | en_US |
dc.type | article | en |
dc.description.status | Published | en_US |
dc.type.QualityControl | Peer-reviewed | en_US |
dc.description.pagenumber | 100610 | en_US |
dc.identifier.doi | 10.1016/j.spasta.2022.100610 | en_US |
dc.description.obiettivoSpecifico | 5T. Sismologia, geofisica e geologia per l'ingegneria sismica | en_US |
dc.description.journalType | JCR Journal | en_US |
dc.contributor.author | Caramenti, Luca | - |
dc.contributor.author | Menafoglio, Alessandra | - |
dc.contributor.author | Sgobba, Sara | - |
dc.contributor.author | Lanzano, Giovanni | - |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Milano, Milano, Italia | en_US |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Milano, Milano, Italia | en_US |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | restricted | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Politecnico di Milano | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Milano, Milano, Italia | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Milano, Milano, Italia | - |
crisitem.author.orcid | 0000-0002-1555-4503 | - |
crisitem.author.orcid | 0000-0003-0682-6412 | - |
crisitem.author.orcid | 0000-0002-5669-8650 | - |
crisitem.author.orcid | 000-0001-7947-4281 | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
Appears in Collections: | Article published / in press |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
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Caramenti et al. 2022 SPASTA.pdf | Restricted Paper | 1.39 MB | Adobe PDF | |
SPASTA-D-21-00179.pdf | 1.64 MB | Adobe PDF | View/Open |
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