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Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999
dc.contributor.authorMartin, Andrew D.
dc.contributor.authorQuinn, Kevin M.
dc.date.accessioned2015-12-21T17:18:53Z
dc.date.available2015-12-21T17:18:53Z
dc.date.issued2002
dc.identifier.citationAndrew D. Martin and Kevin M. Quinn. 2002. “Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999.” Political Analysis. 10:134-153.en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/116239
dc.language.isoen_USen_US
dc.publisherOxford University Pressen_US
dc.titleDynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999en_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPolitical Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumLSA Dean's Officeen_US
dc.contributor.affiliationotherHarvard Universityen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/116239/1/pa02.pdf
dc.identifier.sourcePolitical Analysisen_US
dc.identifier.orcid0000-0002-6532-0721en_US
dc.identifier.name-orcidMartin, Andrew; 0000-0002-6532-0721en_US
dc.owningcollnamePolitical Science


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