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http://hdl.handle.net/2445/170488
Full metadata record
DC Field | Value | Language |
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dc.contributor.advisor | Fortiana Gregori, Josep | - |
dc.contributor.author | Aixalà Perelló, Laura | - |
dc.date.accessioned | 2020-09-10T08:36:00Z | - |
dc.date.available | 2020-09-10T08:36:00Z | - |
dc.date.issued | 2020-06-21 | - |
dc.identifier.uri | http://hdl.handle.net/2445/170488 | - |
dc.description | Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Josep Fortiana Gregori | ca |
dc.description.abstract | [en] The goal of this article is to generate cancer risk maps for the region of Tarragona. We use Bayesian hierachical models adapted to the spatial correlation inherent the data. In the report we explain some elements of Bayesian Statistics to set a foundation for the models we apply, we discuss computational techniques and visualize on maps the results we obtained. | ca |
dc.format.extent | 53 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | spa | ca |
dc.rights | cc-by-nc-nd (c) Laura Aixalà Perelló, 2020 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Treballs Finals de Grau (TFG) - Matemàtiques | - |
dc.subject.classification | Estadística bayesiana | ca |
dc.subject.classification | Treballs de fi de grau | - |
dc.subject.classification | Mètode de Montecarlo | ca |
dc.subject.classification | Càncer | ca |
dc.subject.classification | Anàlisi numèrica | ca |
dc.subject.other | Bayesian statistical decision | en |
dc.subject.other | Bachelor's theses | - |
dc.subject.other | Monte Carlo method | en |
dc.subject.other | Cancer | en |
dc.subject.other | Numerical analysis | en |
dc.title | Cartografía bayesiana del cáncer en la provincia de Tarragona | ca |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Treballs Finals de Grau (TFG) - Matemàtiques |
Files in This Item:
File | Description | Size | Format | |
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170488.pdf | Memòria | 96.42 MB | Adobe PDF | View/Open |
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