Forecasting Czech GDP using Bayesian Dynamic Model Averaging
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F18%3A00053142" target="_blank" >RIV/61384399:31140/18:00053142 - isvavai.cz</a>
Result on the web
<a href="http://www.iises.net/international-journal-of-economic-sciences/publication-detail-1721" target="_blank" >http://www.iises.net/international-journal-of-economic-sciences/publication-detail-1721</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.20472/ES.2018.7.1.004" target="_blank" >10.20472/ES.2018.7.1.004</a>
Alternative languages
Result language
angličtina
Original language name
Forecasting Czech GDP using Bayesian Dynamic Model Averaging
Original language description
Main topics of the document: Bayesian dynamic model averaging; Minnesota prior; Bayesian Vector Autoregressive model; GDP forecasting
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Economic Sciences
ISSN
1804-9796
e-ISSN
1804-9796
Volume of the periodical
VII
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
17
Pages from-to
65-81
UT code for WoS article
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EID of the result in the Scopus database
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