| 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 |
|