TY - DATA T1 - Data from: Discussion of ‘A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty’ PY - 2016/06/14 AU - Andrew C. Parnell UR - https://wiley.figshare.com/articles/dataset/Data_from_Discussion_of_A_Bayesian_multinomial_regression_model_for_paleoclimate_reconstruction_with_time_uncertainty_/3427880 DO - 10.6084/m9.figshare.3427880.v1 L4 - https://ndownloader.figshare.com/files/5371049 KW - Palaeoclimate reconstruction KW - Bayesian statistics KW - State space modelling KW - Environmental Science N2 - It is a pleasure to be a discussant on this paper; one that exhibits the best of both applied statistics and cutting edge methodology. The authors should be congratulated for the clarity of their expression and I hope this paper reaches a wide audience of palaeoclimate scientists, statisticians and environmental scientists more generally. Palaeoclimate is important: it provides useful constraints on the speed at which the climate changes; it helps us learn more about the fragility of our existence (all human history is encompassed in a uniquely warm and stable climate), and provides a method by which to test our physics-based models which allow us to predict future climate change. ER -