Bayesovské regresní modely
Bakalárska práca sa zaoberá opisom základných bayesiánskych metód regresnej analýzy dát a ich porovnaním s klasickým prístupom k regresii. V teoretickej časti textu sú najprv zadefinované pojmy vierohodnostná funkcia, apriórna a aposteriórna hustota pravdepodobnosti, následne sú popísané základné n...
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| Hlavní autor: | |
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| Další autoři: | |
| Typ dokumentu: | VŠ práce nebo rukopis |
| Jazyk: | Slovenština |
| Vydáno: |
2010
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| Témata: | |
| On-line přístup: | http://is.muni.cz/th/269846/prif_b/ |
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| 072 | 7 | |a 519.1/.8 |x Kombinatorika. Teorie grafů. Matematická statistika. Operační výzkum. Matematické modelování |2 Konspekt |9 13 | |
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| 100 | 1 | |a Mišík, Jozef |% UČO 269846 |* [absolvent PřírF MU] |4 dis | |
| 242 | 1 | 0 | |a Bayesian regression models |y eng |
| 245 | 1 | 0 | |a Bayesovské regresní modely |h [rukopis] / |c Jozef Mišík |
| 246 | 1 | |i Název v IS MU: |a Bayesovske regresni modely | |
| 260 | |c 2010 | ||
| 300 | |a 28 l. | ||
| 500 | |a Vedoucí práce: Martin Kolář | ||
| 502 | |a Bakalářská práce (Bc.)--Masarykova univerzita, Přírodovědecká fakulta, 2010 | ||
| 520 | 2 | |a Bakalárska práca sa zaoberá opisom základných bayesiánskych metód regresnej analýzy dát a ich porovnaním s klasickým prístupom k regresii. V teoretickej časti textu sú najprv zadefinované pojmy vierohodnostná funkcia, apriórna a aposteriórna hustota pravdepodobnosti, následne sú popísané základné nástroje pre prácu s bayesiánskymi modelmi. Na lineárnom regresnom modeli (LRM) sú rozpracované metódy analýzy dát, vrátane aposteriórnych simulátorov. Z LRM sú ďalej odvodené modely s obmedzenými vysvetľovanými premennými tobit, probit a logit. V praktickej časti práce sú prezentované výsledky analýzy dát pomocou binárnych logit a probit modelov. |% cze | |
| 520 | 2 | 9 | |a The bachelor thesis describes a basic methods of Bayesian regression data analysis and compares it to the frequentist approach to a regression. There are at first defined terms such as the likelihood function, the prior and the posterior density in the theoretical part of the text, afterwards the basic instruments for comparing and updating the Bayesian models are illustrated. On the linear regression model (LRM) there are defined the data analysis methods, including the posterior simulators. Models with the limited dependent variables tobit, probit and logit are derived from the LRM. In the practical part of the text there are presented results of analysing the data by the binary logit and probit models. |9 eng |
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| 650 | 0 | 7 | |a regresní analýza |7 ph125086 |2 czenas |
| 650 | 0 | 9 | |a econometrics |2 eczenas |
| 650 | 0 | 9 | |a regression analysis |2 eczenas |
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| 655 | 9 | |a bachelor's theses |2 eczenas | |
| 658 | |a Aplikovaná matematika |b Matematika - ekonomie |c PřF B-AM MAEK (MAEK) |2 CZ-BrMU | ||
| 700 | 1 | |a Kolář, Martin, |d 1965- |7 mub2010589594 |% UČO 528 |4 ths | |
| 710 | 2 | |a Masarykova univerzita. |b Ústav matematiky a statistiky |7 kn20091211007 |4 dgg | |
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