| dc.contributor.advisor | Valeinis, Jānis | en_US |
| dc.contributor.author | Jurševskis, Aleksis | en_US |
| dc.contributor.other | Latvijas Universitāte. Fizikas un matemātikas fakultāte | en_US |
| dc.date.accessioned | 2015-03-24T08:24:28Z | |
| dc.date.available | 2015-03-24T08:24:28Z | |
| dc.date.issued | 2013 | en_US |
| dc.identifier.other | 22999 | en_US |
| dc.identifier.uri | https://dspace.lu.lv/dspace/handle/7/23673 | |
| dc.description.abstract | Diplomdarbā tiek apskatītas parametriskās un neparametriskās Beijesa metodes. Tiek salīdzinātas Beijesa un klasiskās, neparametriskās metodes maiņas punktu noteikšanā un laikrindu prognozēšanā. | en_US |
| dc.description.abstract | This diploma thesis investigates parametrical and nonparametrical Bayesian methods. A comparison is made between Bayesian and classical methods in changepoint detection and time series prediction. | en_US |
| dc.language.iso | N/A | en_US |
| dc.publisher | Latvijas Universitāte | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Matemātika | en_US |
| dc.title | Parametriskās un neparametriskās Beijesa metodes un to pielietojumi | en_US |
| dc.title.alternative | Parametric and nonparametric Bayesian methods with applications | en_US |
| dc.type | info:eu-repo/semantics/bachelorThesis | en_US |
