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Trabajo Fin de Grado
Random survival forests
dc.contributor.advisor | Carrizosa Priego, Emilio José | es |
dc.creator | Marín Maqueda, Luis | es |
dc.date.accessioned | 2022-06-22T09:17:24Z | |
dc.date.available | 2022-06-22T09:17:24Z | |
dc.date.issued | 2021-05-15 | |
dc.identifier.citation | Marín Maqueda, L. (2021). Random survival forests. (Trabajo Fin de Grado Inédito). Universidad de Sevilla, Sevilla. | |
dc.identifier.uri | https://hdl.handle.net/11441/134583 | |
dc.description.abstract | Survival Analysis is a crucial problem in statistics that tries to explain and model the behaviour of the individuals of a population through some features, one of them the time elapsed until death occurs. In this work, different models applied in survival analysis are reviewed, from the most traditional estimators to some actual algorithms based in machine learning as the survival trees and forests. The different models described are compared using the statistical package R with data from the literature. | es |
dc.format | application/pdf | es |
dc.format.extent | 38 p. | es |
dc.language.iso | eng | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Random survival forests | es |
dc.type | info:eu-repo/semantics/bachelorThesis | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación operativa | es |
dc.description.degree | Universidad de Sevilla. Grado en Matemáticas | es |
dc.publication.endPage | 38 | es |
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GM MARÍN MAQUEDA, LUÍS.pdf | 947.2Kb | ![]() | Ver/ | |