DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jun, Duk Bin | - |
dc.contributor.author | Kim, Seunghyun | - |
dc.date.accessioned | 2013-03-29T19:11:32Z | - |
dc.date.available | 2013-03-29T19:11:32Z | - |
dc.date.created | 2012-11-14 | - |
dc.date.issued | 2012-06 | - |
dc.identifier.citation | 32nd International Symposium on Forecasting, v., no., pp. - | - |
dc.identifier.uri | http://hdl.handle.net/10203/173099 | - |
dc.language | ENG | - |
dc.publisher | The International Institute of Forecasters | - |
dc.title | Bayesian Clustering Approach to Large Panel Dataset for Extracting the Information about Turning Points in Business Cycle | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 32nd International Symposium on Forecasting | - |
dc.identifier.conferencecountry | United States | - |
dc.contributor.localauthor | Jun, Duk Bin | - |
dc.contributor.nonIdAuthor | Kim, Seunghyun | - |
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