Seriation in paleontological data using Markov Chain Monte Carlo methods

Visa fullständig post



Permalänk

http://hdl.handle.net/10138/163548

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 , pp. 1-9 . https://doi.org/10.1371/journal.pcbi.0020006

Titel: Seriation in paleontological data using Markov Chain Monte Carlo methods
Författare: Puolamäki, Kai; Fortelius, Mikael; Mannila, Heikki
Medarbetare: University of Helsinki, Helsinki University of Technology
University of Helsinki, Geologian ja paleontologian osasto (-2009)
Datum: 2006
Språk: eng
Sidantal: 9
Tillhör serie: PLoS Computational Biology
ISSN: 1553-734X
Permanenta länken (URI): http://hdl.handle.net/10138/163548
Abstrakt: 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.
Subject: 113 Computer and information sciences
Licens:


Filer under denna titel

Totalt antal nerladdningar: Laddar...

Filer Storlek Format Granska
journal.pcbi.0020006.PDF 229.3Kb PDF Granska/Öppna

Detta dokument registreras i samling:

Visa fullständig post