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Discussion Paper: A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty
Author(s)
Date Issued
2016-11
Date Available
2017-11-01T02:00:10Z
Abstract
In this discussion I hope to highlight some of the real contributions of this paper, to point out some of the important non-statistical considerations (which, as applied statisticians in this area we should be cognisant), and to contrast with the rapidly expanding mostly-Bayesian palaeoclimate statistics literature. In particular, accounting for time uncertainty is, I suspect, almost a unique challenge for time series analysis in palaeoclimate science. For this reason it has been ignored for decades. Now with tools as in this paper, they can start to draw proper inferences on climate over time with suitably quantified uncertainties.
Other Sponsorship
Academy of Finland project Ecological History and Long-Term Dynamics of the Boreal Forest Ecosystem (EBOR)
Nordic top-level research initiative Cryosphere-Atmosphere Interactions in a Changing Arctic Climate (CRAICC)
Type of Material
Journal Article
Publisher
Wiley
Journal
Environmetrics
Volume
27
Issue
7
Start Page
431
End Page
433
Copyright (Published Version)
2016 John Wiley & Sons, Ltd.
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
File(s)
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Name
insight_publication.pdf
Size
125.63 KB
Format
Adobe PDF
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