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| dc.contributor | Márquez, David (Márquez Carreras) | |
| dc.creator | Souto Abad, Mónica | |
| dc.date | 2018-05-18T07:59:47Z | |
| dc.date | 2018-05-18T07:59:47Z | |
| dc.date | 2017-06-29 | |
| dc.date.accessioned | 2024-12-16T10:26:25Z | |
| dc.date.available | 2024-12-16T10:26:25Z | |
| dc.identifier | http://hdl.handle.net/2445/122442 | |
| dc.identifier.uri | http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/21058 | |
| dc.description | Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: David Márquez Carreras | |
| dc.description | [en] Bayesian statistics is that statistic that is based on the Bayes theorem, therefore, in the information we have before observe the data. As a result, we have the a priori distribution and a posteriori distribution, which we make inference. In this work we will study the process of estimation from Bayesian inference and simulation methods of a posteriori distribution. In addition, we will see this knowledge applied to practical examples. | |
| dc.format | 74 p. | |
| dc.format | application/pdf | |
| dc.language | cat | |
| dc.rights | cc-by-nc-nd (c) Mónica Souto Abad, 2017 | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Treballs Finals de Grau (TFG) - Matemàtiques | |
| dc.subject | Estadística bayesiana | |
| dc.subject | Treballs de fi de grau | |
| dc.subject | Inferència | |
| dc.subject | Mètode de Montecarlo | |
| dc.subject | Distribució (Teoria de la probabilitat) | |
| dc.subject | Bayesian statistical decision | |
| dc.subject | Bachelor's theses | |
| dc.subject | Inference | |
| dc.subject | Monte Carlo method | |
| dc.subject | Distribution (Probability theory) | |
| dc.title | Introducció a l'estadística bayesiana | |
| dc.type | info:eu-repo/semantics/bachelorThesis |
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