dc.contributor.advisor | Kracík, Jan | |
dc.contributor.author | Truong, Phuong Thi Thanh | |
dc.date.accessioned | 2019-09-26T07:34:50Z | |
dc.date.available | 2019-09-26T07:34:50Z | |
dc.date.issued | 2019 | |
dc.identifier.other | OSD002 | |
dc.identifier.uri | http://hdl.handle.net/10084/138715 | |
dc.description.abstract | Model selection is an important problem in many branches including statistical analysis. In this
thesis, we use the Bayesian model-selection to find the model that is the most suitable for the
given data. We begin with Bayesian inference and theoretical background of Bayesian model
selection. We derive the posterior distribution and marginal likelihood for linear regression
models. By using Bayesian inference in regression models, we can identify the best model from
generated datasets. | en |
dc.description.abstract | Model selection is an important problem in many branches including statistical analysis. In this
thesis, we use the Bayesian model-selection to find the model that is the most suitable for the
given data. We begin with Bayesian inference and theoretical background of Bayesian model
selection. We derive the posterior distribution and marginal likelihood for linear regression
models. By using Bayesian inference in regression models, we can identify the best model from
generated datasets. | cs |
dc.format.extent | 981006 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.subject | Bayesian statisstics, linear regression, model selection. | en |
dc.subject | Bayesian statisstics, linear regression, model selection. | cs |
dc.title | Bayesian model selection | en |
dc.title.alternative | Bayesovská volba modelu | cs |
dc.type | Diplomová práce | cs |
dc.contributor.referee | Thach, Thanh Tien | |
dc.date.accepted | 2019-05-29 | |
dc.thesis.degree-name | Ing. | |
dc.thesis.degree-level | Magisterský studijní program | cs |
dc.thesis.degree-grantor | Vysoká škola báňská - Technická univerzita Ostrava. Fakulta elektrotechniky a informatiky | cs |
dc.description.department | 470 - Katedra aplikované matematiky | cs |
dc.thesis.degree-program | Informační a komunikační technologie | cs |
dc.thesis.degree-branch | Výpočetní matematika | cs |
dc.description.result | dobře | cs |
dc.identifier.sender | S2724 | |
dc.identifier.thesis | TRU0084_FEI_N2647_1103T031_2019 | |
dc.rights.access | openAccess | |