Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Puolamäki, Kai
dc.contributor.author Fortelius, Mikael
dc.contributor.author Mannila, Heikki
dc.date.accessioned 2017-10-15T20:55:06Z
dc.date.available 2017-10-15T20:55:06Z
dc.date.issued 2006
dc.identifier.citation Puolamäki , K , Fortelius , M & Mannila , H 2006 , ' Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods ' PLoS Computational Biology , vol 2 , no. 2 , e6 , pp. 62-70 . DOI: 10.1371/journal.pcbi.0020006 en
dc.identifier.issn 1553-7358
dc.identifier.other PURE UUID: bd7c5d9c-5bf5-4acc-8195-57ab7c082d30
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/seriation-in-paleontological-data-using-markov-chain-monte-carlo-methods(bd7c5d9c-5bf5-4acc-8195-57ab7c082d30).html
dc.identifier.other PURE LINK: http://dx.doi.org/10.1371/journal.pcbi.0020006
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/14909517/journal.pcbi.0020006.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/28287
dc.description.abstract Given a collection of fossil sites with data about the taxa that occur in each site, the task in biochronology is to find good estimates for the ages or ordering of sites. We describe a full probabilistic model for fossil data. The parameters of the model are natural: the ordering of the sites, the origination and extinction times for each taxon, and the probabilities of different types of errors. We show that the posterior distributions of these parameters can be estimated reliably by using Markov chain Monte Carlo techniques. The posterior distributions of the model parameters can be used to answer many different questions about the data, including seriation (finding the best ordering of the sites) and outlier detection. We demonstrate the usefulness of the model and estimation method on synthetic data and on real data on large late Cenozoic mammals. As an example, for the sites with large number of occurrences of common genera, our methods give orderings, whose correlation with geochronologic ages is 0.95. en
dc.format.extent 62-70
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries PLoS Computational Biology en
dc.relation.ispartofseries Volume 2, issue 2 en
dc.rights openAccess en
dc.title Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department School services, SCI
dc.identifier.urn URN:NBN:fi:aalto-201710157147
dc.identifier.doi 10.1371/journal.pcbi.0020006
dc.type.version publishedVersion


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