Skip navigation
Skip navigation
A change is coming. Click to see a sneak peek of the new Open Research Repository.

Bayesian layer counting in ice-cores: Reconstructing the time scale

Request a Copy

link to publisher version

  • Altmetric Citations

Wheatley, J. J.; Blackwell, P. G.; Abram, Nerilie; Wolff, E. W.

Description

The concentrations of various chemicals, particles and gasses in ice-cores hold a continuous record of climatic and environmental information dating back hundreds of thousands of years. In order to interpret these data we must first learn about their underlying, unobserved time scale. We present a fully Bayesian univariate approach to obtaining a marginal posterior distribution for the time of year, as well as the date, at each depth.

dc.contributor.authorWheatley, J. J.
dc.contributor.authorBlackwell, P. G.
dc.contributor.authorAbram, Nerilie
dc.contributor.authorWolff, E. W.
dc.coverage.spatialMilan Italy
dc.date.accessioned2015-12-13T22:18:08Z
dc.date.createdJune 5-6 2013
dc.identifier.isbn9783319020839
dc.identifier.urihttp://hdl.handle.net/1885/71500
dc.description.abstractThe concentrations of various chemicals, particles and gasses in ice-cores hold a continuous record of climatic and environmental information dating back hundreds of thousands of years. In order to interpret these data we must first learn about their underlying, unobserved time scale. We present a fully Bayesian univariate approach to obtaining a marginal posterior distribution for the time of year, as well as the date, at each depth.
dc.publisherSpringer
dc.relation.ispartofseries1st Bayesian Young Statistician Meeting, BAYSM 2013
dc.sourceSpringer Proceedings in Mathematics and Statistics Volume 63. The Contribution of Young Researchers to Bayesian Statistics
dc.source.urihttp://www.springer.com/statistics/statistical+theory+and+methods/book/978-3-319-02083-9
dc.titleBayesian layer counting in ice-cores: Reconstructing the time scale
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2014
local.identifier.absfor040605 - Palaeoclimatology
local.identifier.absfor040105 - Climatology (excl. Climate Change Processes)
local.identifier.ariespublicationU3488905xPUB2743
local.type.statusPublished Version
local.contributor.affiliationWheatley, J.J., University of Sheffield
local.contributor.affiliationBlackwell, P.G., University of Sheffield
local.contributor.affiliationAbram, Nerilie, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationWolff, E.W., British Antarctic Survey
local.description.embargo2037-12-31
local.bibliographicCitation.startpage121
local.bibliographicCitation.lastpage125
local.identifier.doi10.1007/978-3-319-02084-6_24
local.identifier.absseo970105 - Expanding Knowledge in the Environmental Sciences
dc.date.updated2015-12-11T07:41:46Z
local.identifier.scopusID2-s2.0-84893440698
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Wheatley_Bayesian_layer_counting_in_2014.pdf81.92 kBAdobe PDF    Request a copy
Show simple item record


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

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator