Discussion Paper: A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty
|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 analysis; Palaeoclimate science||DOI:||10.1002/env.2401||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Insight Research Collection|
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