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

J. J. Wheatley; P. G. Blackwell; N. J. Abram; E. W. Wolff

doi:10.1007/978-3-319-02084-6__24

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

J. J. Wheatley, P. G. Blackwell, N. J. Abram, E. W. Wolff

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

Abstract

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.

Original language	English
Title of host publication	The Contribution of Young Researchers to Bayesian Statistics - Proceedings of BAYSM 2013
Pages	121-125
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-319-02084-6__24
Publication status	Published - 2014
Event	1st Bayesian Young Statistician Meeting, BAYSM 2013 - Milan, Italy Duration: 5 Jun 2013 → 6 Jun 2013

Publication series

Name	Springer Proceedings in Mathematics and Statistics
Volume	63
ISSN (Print)	2194-1009
ISSN (Electronic)	2194-1017

Conference

Conference	1st Bayesian Young Statistician Meeting, BAYSM 2013
Country/Territory	Italy
City	Milan
Period	5/06/13 → 6/06/13

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10.1007/978-3-319-02084-6__24

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title = "Bayesian layer counting in ice-cores: Reconstructing the time scale",

abstract = "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.",

author = "Wheatley, \{J. J.\} and Blackwell, \{P. G.\} and Abram, \{N. J.\} and Wolff, \{E. W.\}",

year = "2014",

doi = "10.1007/978-3-319-02084-6\_\_24",

language = "English",

isbn = "9783319020839",

series = "Springer Proceedings in Mathematics and Statistics",

pages = "121--125",

booktitle = "The Contribution of Young Researchers to Bayesian Statistics - Proceedings of BAYSM 2013",

note = "1st Bayesian Young Statistician Meeting, BAYSM 2013 ; Conference date: 05-06-2013 Through 06-06-2013",

}

Wheatley, JJ, Blackwell, PG, Abram, NJ & Wolff, EW 2014, Bayesian layer counting in ice-cores: Reconstructing the time scale. in The Contribution of Young Researchers to Bayesian Statistics - Proceedings of BAYSM 2013. Springer Proceedings in Mathematics and Statistics, vol. 63, pp. 121-125, 1st Bayesian Young Statistician Meeting, BAYSM 2013, Milan, Italy, 5/06/13. https://doi.org/10.1007/978-3-319-02084-6__24

Bayesian layer counting in ice-cores: Reconstructing the time scale. / Wheatley, J. J.; Blackwell, P. G.; Abram, N. J. et al.
The Contribution of Young Researchers to Bayesian Statistics - Proceedings of BAYSM 2013. 2014. p. 121-125 (Springer Proceedings in Mathematics and Statistics; Vol. 63).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review

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AU - Wolff, E. W.

PY - 2014

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AB - 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.

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SN - 9783319020839

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BT - The Contribution of Young Researchers to Bayesian Statistics - Proceedings of BAYSM 2013

Y2 - 5 June 2013 through 6 June 2013

ER -

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

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