Discussion Paper: A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty

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Title: Discussion Paper: A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty
Authors: Parnell, Andrew C.
Permanent link: http://hdl.handle.net/10197/8332
Date: Nov-2016
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.
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.
Keywords: Time series analysisPalaeoclimate science
DOI: 10.1002/env.2401
Language: en
Status of Item: Peer reviewed
Appears in Collections:Insight Research Collection

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