Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A Hierarchical Bayesian Dynamic Latent Variable model for Credit Rating

Full metadata record
DC Field Value Language
dc.contributor.authorPark, Yousung-
dc.date.accessioned2021-08-30T00:28:16Z-
dc.date.available2021-08-30T00:28:16Z-
dc.date.created2021-04-22-
dc.date.issued2009-10-31-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/48256-
dc.publisherEuropean Research Consortium for Informatics and Mathematics (ERCIM)-
dc.titleA Hierarchical Bayesian Dynamic Latent Variable model for Credit Rating-
dc.title.alternativeEnglish-
dc.typeConference-
dc.contributor.affiliatedAuthorPark, Yousung-
dc.identifier.bibliographicCitationComputational and Finacial Econometrics (CFE09), pp.109-
dc.relation.isPartOfComputational and Finacial Econometrics (CFE09)-
dc.citation.titleComputational and Finacial Econometrics (CFE09)-
dc.citation.startPage109-
dc.citation.endPage109-
dc.citation.conferencePlaceCY-
dc.citation.conferenceDate2009-10-29-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Political Science & Economics > Department of Statistics > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE